15.3.3.8 Road Signs, Traffic Signs, Traffic Lights, Objects along the Road, Inspections

Chapter Contents (Back)
Sign Detection. Road Signs. Traffic Signs. Street furniture. See also Recognize Text, Read Text from Signs in General Scenes. See also Inspection -- Pavement, Road Surface, Asphalt, Concrete.

Swedish Trafic Signs,
Online2010
WWW Link. Dataset, Traffic Signs. BibRef 1000

Kehtarnavaz, N., Griswold, N.C., Kang, D.S.,
Stop-Sign Recognition Based on Color-Shape Processing,
MVA(6), 1993, pp. 206-208. BibRef 9300

Ritter, W., Stein, F., and Janssen, R.,
Traffic sign recognition using colour information,
MathMod(22), No. 4-7, August-October 1995, 149-161.
WWW Link. BibRef 9508

Murino, V., Regazzoni, C.S., Foresti, G.L., and Vernazza, G.,
A Multilevel Fusion Approach to Object Identification in Outdoor Road Scenes,
PRAI(9), 1995, pp. 23-65. BibRef 9500

Piccioli, G., de Micheli, E., Parodi, P., Campani, M.,
Robust Method for Road Sign Detection and Recognition,
IVC(14), No. 3, April 1996, pp. 209-223.
Elsevier DOI 9607
BibRef

Piccioli, G., de Micheli, E., Campani, M.,
A Robust Method for Road Sign Detection and Recognition,
ECCV94(A:493-500).
Springer DOI BibRef 9400

de la Escalera, A., and Moreno, L.,
Road traffic sign detection and classification,
IndEle(44), 1997, pp. 848-859. BibRef 9700

de la Escalera, A., Armingol, J.M., Mata, M.,
Traffic sign recognition and analysis for intelligent vehicles,
IVC(21), No. 3, March 2003, pp. 247-258.
Elsevier DOI 0301
BibRef

Collado, J.M., Hilario, C., de la Escalera, A., Armingol, J.M.,
Model based vehicle detection for intelligent vehicles,
IVS04(572-577).
WWW Link. 0411
BibRef

Estevez, L.W., Kehtarnavaz, N.,
Autoassociative Segmentation for Real Time Object Recognition in Realistic Outdoor Images,
JEI(7), No. 2, April 1998, pp. 378-385. 9807
BibRef
Earlier:
A real-time histographic approach to road sign recognition,
Southwest96(95-100). BibRef

Grace, A.E., Pycock, D., Tillotson, H.T., Snaith, M.S.,
Active shape from stereo for highway inspection,
MVA(12), No. 1, 2000, pp. 7-15.
Springer DOI 0008
BibRef

Miura, J., Kanda, T., Nakatani, S., and Shirai, Y.,
An Active Vision System for On-line Traffic Sign Recognition,
IEICE(E85-D), No. 11, 2002, pp. 1784-1792.
PDF File. BibRef 0200

Miura, J., Kanda, T., and Shirai, Y.,
An Active Vision System for Real-Time Traffic Sign Recogntition,
ITS00(52-57), Dearborn, MI, Oct. 2000.
PDF File. BibRef 0010

Tao, C.V.[C. Vincent], Chapman, M.A.[Michael A.], Chaplin, B.A.[Bruce A.],
Automated processing of mobile mapping image sequences,
PandRS(55), No. 5-6, March 2001, pp. 330-346.
HTML Version. 0105
BibRef

Tao, C.V.[C. Vincent],
Semi-Automated Object Measurement Using Multiple-Image Matching from Mobile Mapping Image Sequences,
PhEngRS(66), No. 12, December 2000, pp. 1477-1485. Use stereoscopic and sequential image information, known image georeferencing parameters, and multiple-baseline geometry. Semi-automated approach. 0101
Cartography. BibRef

Tao, C.V.[C. Vincent],
Database-Guided Automatic Inspection of Vertically Structured Transportation Objects from Mobile Mapping Image Sequences,
PhEngRS(67), No. 12, December 2001, pp. 1401-1409. Automatic inspection of such objects as street light poles and traffic signs was performed employing georeferenced imagery and an existing location database
WWW Link. 0201
BibRef

Paclik, P.[Pavel], Novoviová, J., Pudil, P., Somol, P.,
Road Sign Classification using Laplace Kernel Classifier,
PRL(21), No. 13-14, December 2000, pp. 1165-1173.
PDF File. 0011
BibRef
Earlier: SCIA99(275-282).
PDF File. BibRef

Hsu, S.H.[Shih-Hung], Huang, C.L.[Chung-Lin],
Road sign detection and recognition using matching pursuit method,
IVC(19), No. 3, February 2001, pp. 119-129.
Elsevier DOI 0103
BibRef
Earlier: A2, A1:
Road Sign Interpretation Using Matching Pursuit Method,
ICPR00(Vol I: 329-333).
IEEE DOI 0009
BibRef

Platner, D.K.[David K.], Burmeister, K.A.[Kurt A.], Hughes, T.[Thomas], Ledesma, R.H.[Ragnar H.], Miller, S.R.[Steven R.], Reynolds, M.P.[Mark P.], Williams, M.G.[Monte G.],
Method and system for predicting road profile,
US_Patent6,233,510, May 15, 2001
WWW Link. BibRef 0105

Tu, Z.W.[Zhuo-Wen], Li, R.X.[Rong-Xing],
A Framework for Automatic Recognition of Spatial Features from Mobile Mapping Imagery,
PhEngRS(68), No. 3, March 2002, pp. 267-275. Traffic-light recognition from mobile mapping images.
WWW Link. 0204
BibRef

Laumeyer, R.A.[Robert Anthony], Retterath, J.E.[James Eugene],
System for automatically generating database of objects of interest by analysis of images recorded by moving vehicle,
US_Patent6,363,161, March 26, 2002.
WWW Link. BibRef 0203

Laumeyer, R.A.[Robert Anthony], Retterath, J.E.[James Eugene],
Method and apparatus for identifying objects depicted in a videostream,
US_Patent6,266,442, July 24, 2001.
WWW Link. BibRef 0107
And: US_Patent6,625,315, Sep 23, 2003
WWW Link. BibRef
And: US_Patent7,092,548, Aug 15, 2006
WWW Link. BibRef

Laumeyer, R.A.[Robert Anthony], Retterath, J.E.[James Eugene],
Method and apparatus for rapidly determining whether a digitized image frame contains an object of interest,
US_Patent6,449,384, September 10, 2002.
WWW Link. BibRef 0209

Laumeyer, R.A.[Robert Anthony], Retterath, J.E.[James Eugene],
Method and apparatus for generating a database of road sign images and positions,
US_Patent6,453,056, September 17, 2002.
WWW Link. BibRef 0209

Chen, Y.[Yang],
Highway overhead structure detection using video image sequences,
ITS(4), No. 2, June 2003, pp. 67-77.
IEEE Abstract. 0402
BibRef

Jeyapalan, K.[Kandiah],
Mobile Digital Cameras for As-Built Surveys of Roadside Features,
PhEngRS(70), No. 3, March 2004, pp. 301-312.
WWW Link. A method for determining the three-dimensional locations of roadside features appearing on multiple sequential images captured using a mobile videologging system without any ground control is described. 0403
BibRef

Fang, C.Y., Fuh, C.S., Yen, P.S., Cherng, S., Chen, S.W.,
An automatic road sign recognition system based on a computational model of human recognition processing,
CVIU(96), No. 2, November 2004, pp. 237-268.
Elsevier DOI 0410
BibRef
Earlier: A1, A2, A5, A3, Only:
A road sign recognition system based on dynamic visual model,
CVPR03(I: 750-755).
IEEE DOI 0307
Extract spatial and temporal information from video. Neural network for perception. BibRef

Fang, C.Y., Fuh, C.S., and Chen, S.W.,
Detection and tracking of road signs,
PRIA(11), 2001, pp. 304-308. BibRef 0100

de la Escalera, A., Armingol, J.M., Pastor, J.M., Rodriguez, F.J.,
Visual sign information extraction and identification by deformable models for intelligent vehicles,
ITS(5), No. 2, June 2004, pp. 57-68.
IEEE Abstract. 0501
BibRef

Wu, J.P.[Jian-Ping], Tsai, Y.C.J.[Yi-Chang James],
Real-time Speed Limit Sign Recognition Based on Locally Adaptive Thresholding and Depth-First-Search,
PhEngRS(71), No. 4, April 2005, pp. 405-414. Recognizing speed limit signs from video and extract the values, support real-time road inventory data collection operations.
WWW Link. 0509
BibRef

Gao, X.W., Podladchikova, L.N., Shaposhnikov, D.G., Hong, K., Shevtsova, N.,
Recognition of traffic signs based on their colour and shape features extracted using human vision models,
JVCIR(17), No. 4, August 2006, pp. 675-685.
Elsevier DOI 0711
Transformation invariant recognition; Traffic signs recognition; Feature extraction BibRef

Paclik, P.[Pavel], Novovicova, J.[Jana], Duin, R.P.W.[Robert P.W.],
Building Road-Sign Classifiers Using a Trainable Similarity Measure,
ITS(7), No. 3, September 2006, pp. 309-321.
IEEE DOI 0609
BibRef
Earlier:
A Trainable Similarity Measure for Image Classification,
ICPR06(III: 391-394).
IEEE DOI 0609
See also Dissimilarity-based classification of spectra: computational issues. BibRef

Paclik, P.[Pavel], Verzakov, S., Duin, R.P.W.,
Multi-class extensions of the GLDB feature extraction algorithm for spectral data,
ICPR04(IV: 629-632).
IEEE DOI 0409
Generalized Local Discriminant Bases See also Best-bases feature extraction algorithms for classification of hyperspectral data. BibRef

Koncar, A.[Alan], Janßen, H.[Holger], Halgamuge, S.[Saman],
Gabor wavelet similarity maps for optimising hierarchical road sign classifiers,
PRL(28), No. 2, 15 January 2007, pp. 260-267.
Elsevier DOI 0611
Gabor wavelets; Jets; Euclidean distance; Normalised scalar product; Hierarchical classifier; Gabor similarity maps BibRef

Alessandretti, G., Broggi, A., Cerri, P.,
Vehicle and Guard Rail Detection Using Radar and Vision Data Fusion,
ITS(8), No. 1, March 2007, pp. 95-105.
IEEE DOI 0703
BibRef

Maldonado-Bascon, S., Lafuente-Arroyo, S., Gil-Jimenez, P., Gomez-Moreno, H., Lopez-Ferreras, F.,
Road-Sign Detection and Recognition Based on Support Vector Machines,
ITS(8), No. 2, April 2007, pp. 264-278.
IEEE DOI 0706
BibRef

Maldonado-Bascón, S.[Saturnino], Acevedo-Rodríguez, J.[Javier], Lafuente-Arroyo, S.[Sergio], Fernndez-Caballero, A., Lopez-Ferreras, F.,
An optimization on pictogram identification for the road-sign recognition task using SVMs,
CVIU(114), No. 3, March 2010, pp. 373-383.
Elsevier DOI 1003
Road sign; Automatic traffic sign detection and recognition system (TSDRS); Classification; Support vector machines (SVMs) BibRef

Gómez-Moreno, H.[Hilario], Maldonado-Bascón, S.[Saturnino], Gil-Jiménez, P.[Pedro], Lafuente-Arroyo, S.[Sergio],
Goal Evaluation of Segmentation Algorithms for Traffic Sign Recognition,
ITS(11), No. 4, December 2010, pp. 917-930.
IEEE DOI 1101
BibRef

Gil-Jiménez, P.[Pedro], Maldonado-Bascón, S.[Saturnino], Gómez-Moreno, H.[Hilario], Lafuente-Arroyo, S.[Sergio], Acevedo-Rodríguez, J.[Javier],
Algebraic-Distance Minimization of Lines and Ellipses for Traffic Sign Shape Localization,
IbPRIA07(II: 540-547).
Springer DOI 0706
BibRef

Lopez-Sastre, R.J., Renes-Olalla, J., Gil-Jimenez, P., Maldonado-Bascon, S., Lafuente-Arroyo, S.,
Heterogeneous Visual Codebook Integration Via Consensus Clustering for Visual Categorization,
CirSysVideo(23), No. 8, 2013, pp. 1358-1368.
IEEE DOI 1308
Clustering algorithms. category-level object and activity recognition. BibRef

Liu, Y.S.[Yi-Sheng], Duh, D.J.[Der-Jyh], Chen, S.Y.[Shu-Yuan], Liu, R.S.[Ru-Sheng], Hsieh, J.W.[Jun-Wei],
Scale and skew-invariant road sign recognition,
IJIST(17), No. 1, 2007, pp. 28-39.
DOI Link 0707
BibRef

Barnes, N.M., Zelinsky, A., Fletcher, L.S.,
Real-Time Speed Sign Detection Using the Radial Symmetry Detector,
ITS(9), No. 2, June 2008, pp. 322-332.
IEEE DOI 0806
BibRef
Earlier: A1, A2, Only:
Real-time radial symmetry for speed sign detection,
IVS04(566-571).
WWW Link. 0411
BibRef

Ishida, H.[Hiroyuki], Takahashi, T.[Tomokazu], Ide, I.[Ichiro], Mekada, Y.[Yoshito], Murase, H.[Hiroshi],
Generation of Training Data by Degradation Models for Traffic Sign Symbol Recognition,
IEICE(E90-D), No. 8, August 2007, pp. 1134-1141.
DOI Link 0708
BibRef
Earlier:
Identification of degraded traffic sign symbols by a generative learning method,
ICPR06(I: 531-534).
IEEE DOI 0609
BibRef

Gao, X.H.[Xiao-Hong], Hong, K.[Kunbin], Passmore, P.[Peter], Podladchikova, L.N.[Lubov N.], Shaposhnikov, D.G.[Dmitry G.],
Colour Vision Model-Based Approach for Segmentation of Traffic Signs,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Joo, S.K.[Sung-Kwan], Kim, Y.[Yongkwon], Cho, S.I.[Seong Ik], Choi, K.H.[Kyoung-Ho], Lee, K.S.[Ki-Sung],
Traffic Light Detection Using Rotated Principal Component Analysis for Video-Based Car Navigation System,
IEICE(E91-D), No. 12, December 2008, pp. 2884-2887.
DOI Link 0804
BibRef

Baro, X., Escalera, S., Vitria, J., Pujol, O., Radeva, P.I.,
Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification,
ITS(10), No. 1, March 2009, pp. 113-126.
IEEE DOI 0903
BibRef

Escalera, S.[Sergio], Pujol, O.[Oriol], Radeva, P.I.[Petia I.],
Traffic sign recognition system with beta-correction,
MVA(21), No. 2, February 2010, pp. xx-yy.
Springer DOI 1002
All the usual problems, multi-object, occlusion, illumination, etc. Based on Error Correcting Output Codes (ECOC). Ensemble of binary classifiers. BibRef

Escalera, S., Baró, X., Pujol, O., Vitrià, J., Radeva, P.I.,
Traffic-Sign Recognition Systems,
SpringerNew-York, 2011. ISBN: 978-1-4471-2244-9
WWW Link. Buy this book: Traffic-Sign Recognition Systems (SpringerBriefs in Computer Science) 1111
BibRef

Prieto, M.S.[Miguel S.], Allen, A.R.[Alastair R.],
Using self-organising maps in the detection and recognition of road signs,
IVC(27), No. 6, 4 May 2009, pp. 673-683.
Elsevier DOI 0904
Road sign detection; Road sign recognition; Self-organising map BibRef

Tsai, L.W.[Luo-Wei], Hsieh, J.W.[Jun-Wei], Chuang, C.H., Tseng, Y.J.[Yun-Jung], Fan, K.C.[Kuo-Chin], Lee, C.C.,
Road sign detection using eigen colour,
IET-CV(2), No. 3, September 2008, pp. 164-177.
DOI Link 0905
BibRef

Tsai, L.W.[Luo-Wei], Tseng, Y.J.[Yun-Jung], Hsieh, J.W.[Jun-Wei], Fan, K.C.[Kuo-Chin], Li, J.J.[Jiun-Jie],
Road Sign Detection Using Eigen Color,
ACCV07(I: 169-179).
Springer DOI 0711
BibRef

Ruta, A.[Andrzej], Li, Y.M.[Yong-Min], Liu, X.H.[Xiao-Hui],
Real-time traffic sign recognition from video by class-specific discriminative features,
PR(43), No. 1, January 2010, pp. 416-430,.
Elsevier DOI 0909
BibRef
Earlier:
Towards Real-Time Traffic Sign Recognition by Class-Specific Discriminative Features,
BMVC07(xx-yy).
PDF File. 0709
Traffic sign recognition; Computer vision-based driver assistance; Discriminative local regions; Colour Distance Transform; Forward feature selection BibRef

Ruta, A.[Andrzej], Li, Y.M.[Yong-Min], Liu, X.H.[Xiao-Hui],
Robust Class Similarity Measure for Traffic Sign Recognition,
ITS(11), No. 4, December 2010, pp. 846-855.
IEEE DOI 1101
BibRef

Ruta, A.[Andrzej], Li, Y.M.[Yong-Min], Porikli, F.M.[Fatih M.], Watanabe, S.[Shintaro], Kage, H.[Hiroshi], Sumi, K.[Kazuhiko],
A New Approach for In-Vehicle Camera Traffic Sign Detection and Recognition,
MVA09(509-).
PDF File. 0905
BibRef

Ruta, A.[Andrzej], Porikli, F.M.[Fatih M.], Watanabe, S.[Shintaro], Li, Y.M.[Yong-Min],
In-vehicle camera traffic sign detection and recognition,
MVA(22), No. 2, March 2011, pp. 359-375.
WWW Link. 1103
BibRef

Ruta, A.[Andrzej], Li, Y.M.[Yong-Min],
Learning pairwise image similarities for multi-classification using Kernel Regression Trees,
PR(45), No. 4, April 2012, pp. 1396-1408.
Elsevier DOI 1112
Visual similarity; Learning from example pairs; Object recognition; Kernel Regression Trees BibRef

Khan, J.F., Bhuiyan, S.M.A., Adhami, R.R.,
Image Segmentation and Shape Analysis for Road-Sign Detection,
ITS(12), No. 1, March 2011, pp. 83-96.
IEEE DOI 1103
BibRef

Fleyeh, H.[Hasan], Bin Mumtaz, A.H.R.M.[Al-Hasanat R. M.],
Adaptive Shadow and Highlight Invariant Colour Segmentation for Traffic Sign Recognition Based on Kohonen SOM,
IJIS(20), No. 1, 2011.
DOI Link 1103
Pre publication info, check exact issue, page reference. BibRef

Fleyeh, H.[Hasan],
Traffic sign recognition by fuzzy sets,
IVS08(xx-yy). BibRef 0800

Fleyeh, H.[Hasan], Dougherty, M.,
Traffic sign classification using invariant features and Support Vector Machines,
IVS08(xx-yy). BibRef 0800
Earlier:
SVM Based Traffic Sign Classification Using Legendre Moments,
IICAI07(xx-yy). BibRef
Earlier:
Road and traffic sign detection and recognition,
EWGT05(xx-yy). Poznan, Poland, 13-16 September, 2005. BibRef

Fleyeh, H.[Hasan], Gilani, S., Dougherty, M.,
Road Sign Detection and Recognition Using A Fuzzy ARTMAP: A Case Study Swedish Speed-Limit Signs,
AI Soft Computing06(xx-yy). Palma de Mallorca, Spain, 28-30 August, 2006. BibRef 0608

Fleyeh, H.[Hasan], and Davami, E.[Erfan],
Eigen-Based Traffic Sign Recognition,
IET-ITS(5), No. 3, 2011, pp. 190-196.
WWW Link. BibRef 1100

Fleyeh, H., Biswas, R., and Bhuiyan, N.,
An Adaptive Approach to Detect Warning Traffic Signs Using SOM and Windowed Hough Transform,
SIPA11(xx-yy), June 22-24, 2011, Crete. BibRef 1106

Fleyeh, H.[Hasan], Dougherty, M., Aenugula, D., Baddam, S.,
Invariant Road Sign Recognition with Fuzzy ARTMAP and Zernike Moments,
IVS07(xx-yy). BibRef 0700

Fleyeh, H.[Hasan], Shi, M., Wu, H.,
A Robust Model for Traffic Signs Recognition Based on Support Vector Machines,
CISP08(xx-yy). BibRef 0800
And:
Support vector machines for traffic signs recognition,
IJCNN08(xx-yy). BibRef

Fleyeh, H.[Hasan], Zhao, P.,
A Contour-based Separation of Vertically Attached Traffic Signs,
IECON08(xx-yy). Orlando, FL, 2008 BibRef 0800

Fleyeh, H.[Hasan],
Shadow and Highlight Invariant Colour Segmentation Algorithm for Traffic Signs,
CIS06(xx-yy). Bangkok, Thailand, June, 2006. BibRef 0606
Earlier:
Traffic Signs Color Detection and Segmentation in Poor Light Conditions,
MVA05(xx-yy). BibRef
And:
Road and Traffic Sign Color Detection and Segmentation: A Fuzzy Approach,
MVA05(xx-yy) BibRef
And:
A Novel Fuzzy Approach For Shape Determination of Traffic Signs,
IICAI05(xx-yy). BibRef
Earlier:
Color detection and segmentation for road and traffic signs,
CIS04(xx-yy). Singapore, December, 2004. BibRef

Gonzalez, Á., Garrido, M.A., Fernandez Llorca, D., Gavilan, M., Fernandez, J.P., Alcantarilla, P.F., Parra, I., Herranz, F., Bergasa, L.M., Sotelo, M.A., Revenga de Toro, P.,
Automatic Traffic Signs and Panels Inspection System Using Computer Vision,
ITS(12), No. 2, June 2011, pp. 485-499.
IEEE DOI 1101
BibRef

Larsson, F.[Fredrik], Felsberg, M.[Michael], Forssen, P.E.[Per-Erik],
Correlating fourier descriptors of local patches for road sign recognition,
IET-CV(5), No. 4, 2011, pp. 244-254.
DOI Link 1107
BibRef
Earlier: A1, A2, Only:
Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition,
SCIA11(238-249).
Springer DOI 1105
BibRef

Roters, J., Jiang, X., Rothaus, K.,
Recognition of Traffic Lights in Live Video Streams on Mobile Devices,
CirSysVideo(21), No. 10, October 2011, pp. 1497-1511.
IEEE DOI 1110
BibRef

Meuter, M., Nunn, C., Gormer, S.M., Muller-Schneiders, S., Kummert, A.,
A Decision Fusion and Reasoning Module for a Traffic Sign Recognition System,
ITS(12), No. 4, December 2011, pp. 1126-1134.
IEEE DOI 1112
BibRef

Xu, S.,
Robust traffic sign shape recognition using geometric matching,
IET-ITS(3), No. 1, 2009, pp. 10-18.
DOI Link 1204
BibRef

McLoughlin, S., Deegan, C., Mulvihill, C., Fitzgerald, C., Markham, C.,
Mobile mapping for the automated analysis of road signage and delineation,
IET-ITS(2), No. 1, 2008, pp. 61-73.
DOI Link 1204
BibRef

Murray, S., Haughey, S., Brogan, M., Fitzgerald, C., McLoughlin, S., Deegan, C.,
Mobile mapping system for the automated detection and analysis of road delineation,
IET-ITS(5), No. 4, 2011, pp. 221-230.
DOI Link 1204
BibRef

Gu, Y.[Yanlei], Panahpour Tehrani, M.[Mehrdad], Yendo, T.[Tomohiro], Fujii, T.[Toshiaki], Tanimoto, M.[Masayuki],
Traffic Sign Recognition with Invariance to Lighting in Dual-Focal Active Camera System,
IEICE(E95-D), No. 7, July 2012, pp. 1775-1790.
WWW Link. 1208
BibRef

Zhang, K.[Ka], Sheng, Y.[Yehua], Li, J.,
Automatic detection of road traffic signs from natural scene images based on pixel vector and central projected shape feature,
IET-ITS(6), No. 2, 2012, pp. 282-291.
DOI Link 1209
BibRef

Zhang, K.[Ka], Sheng, Y.[Yehua], Wang, P.[Peifang], Luo, L.[Lin], Ye, C.[Chun], Gong, Z.J.[Zhi-Jun],
Automatic Recognition of Traffic Signs in Natural Scene Image Based on Central Projection Transformation,
ISPRS08(B3b: 627 ff).
PDF File. 0807
BibRef

Cavegn, S.[Stefan], Nebiker, S.[Stephan],
Automated 3D Road Sign Mapping with Stereovision-based Mobile Mapping exploiting Depth Information from Dense Stereo Matching,
PFG(2012), No. 5, 2012, pp. 631-645.
WWW Link. 1211
BibRef
Earlier:
Automated 3d Road Sign Mapping With Stereovision-based Mobile Mapping Exploiting Disparity Information From Dense Stereo Matching,
ISPRS12(XXXIX-B4:61-66).
DOI Link 1209
BibRef

Nebiker, S., Cavegn, S., Eugster, H., Laemmer, K., Markram, J., Wagner, R.,
Fusion of Airborne and Terrestrial Image-based 3D Modelling for Road Infrastructure Management: Vision and First Experiments,
ISPRS12(XXXIX-B4:79-84).
DOI Link 1209
BibRef

Schwarzbach, F.[Friederike],
Suitability of Different LIDAR Data Sets for 3D Mapping of the Road Environment,
PFG(2009), No. 2, 2009, pp. 117-127.
WWW Link. 1211
BibRef

Lu, K., Ding, Z., Ge, S.,
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition,
ITS(13), No. 4, December 2012, pp. 1515-1524.
IEEE DOI 1212
BibRef

Zaklouta, F., Stanciulescu, B.,
Real-Time Traffic-Sign Recognition Using Tree Classifiers,
ITS(13), No. 4, December 2012, pp. 1507-1514.
IEEE DOI 1212
BibRef

Greenhalgh, J., Mirmehdi, M.,
Real-Time Detection and Recognition of Road Traffic Signs,
ITS(13), No. 4, December 2012, pp. 1498-1506.
IEEE DOI 1212
BibRef

Greenhalgh, J., Mirmehdi, M.,
Recognizing Text-Based Traffic Signs,
ITS(16), No. 3, June 2015, pp. 1360-1369.
IEEE DOI 1506
Cameras BibRef

Mogelmose, A., Trivedi, M.M., Moeslund, T.B.,
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey,
ITS(13), No. 4, December 2012, pp. 1484-1497.
IEEE DOI 1212
BibRef

Philipsen, M.P., Jensen, M.B., Trivedi, M.M., Mogelmose, A.[Andreas], Moeslund, T.B.[Thomas B.],
Ongoing work on traffic lights: Detection and evaluation,
AVSS15(1-6)
IEEE DOI 1511
image sensors BibRef

Mogelmose, A.[Andreas], Trivedi, M.M.[Mohan M.], Moeslund, T.B.[Thomas B.],
Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets,
ICPR12(3452-3455).
WWW Link. 1302
BibRef

Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.,
Introduction to the Special Issue on Machine Learning for Traffic Sign Recognition,
ITS(13), No. 4, December 2012, pp. 1481-1483.
IEEE DOI 1212
BibRef

Pei, D.L.[De-Li], Sun, F.C.[Fu-Chun], Liu, H.P.[Hua-Ping],
Supervised Low-Rank Matrix Recovery for Traffic Sign Recognition in Image Sequences,
SPLetters(20), No. 3, March 2013, pp. 241-244.
IEEE DOI 1303
BibRef

Soheilian, B.[Bahman], Paparoditis, N.[Nicolas], Vallet, B.[Bruno],
Detection and 3D reconstruction of traffic signs from multiple view color images,
PandRS(77), No. 1, March 2013, pp. 1-20.
Elsevier DOI 1303
Traffic sign; Color segmentation; Geometric shape estimation; Template matching; Constrained multi-view reconstruction BibRef

Yan, W.Y.[Wai Yeung], Shaker, A., Easa, S.,
Potential Accuracy of Traffic Signs' Positions Extracted From Google Street View,
ITS(14), No. 2, 2013, pp. 1011-1016.
IEEE DOI 1307
traffic engineering computing; ground control points; traffic sign position BibRef

Munoz-Organero, M., Magana, V.C.,
Validating the Impact on Reducing Fuel Consumption by Using an EcoDriving Assistant Based on Traffic Sign Detection and Optimal Deceleration Patterns,
ITS(14), No. 2, 2013, pp. 1023-1028.
IEEE DOI 1307
Fuel optimal control BibRef

Boumediene, M.[Mohammed], Cudel, C.[Christophe], Basset, M.[Michel], Ouamri, A.[Abdelaziz],
Triangular traffic signs detection based on RSLD algorithm,
MVA(24), No. 8, November 2013, pp. 1721-1732.
Springer DOI 1310
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Zhang, Q.S.[Qie-Shi], Kamata, S.I.[Sei-Ichiro],
Improved Color Barycenter Model and Its Separation for Road Sign Detection,
IEICE(E96-D), No. 12, December 2013, pp. 2839-2849.
WWW Link. 1312
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Earlier:
Automatic road sign detection method based on Color Barycenters Hexagon model,
ICPR08(1-4).
IEEE DOI 0812
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Cabo, C., Ordoñez, C., García-Cortés, S., Martínez, J.,
An algorithm for automatic detection of pole-like street furniture objects from Mobile Laser Scanner point clouds,
PandRS(87), No. 1, 2014, pp. 47-56.
Elsevier DOI 1402
Urban BibRef

Souani, C.[Chokri], Faiedh, H.[Hassene], Besbes, K.[Kamel],
Efficient algorithm for automatic road sign recognition and its hardware implementation,
RealTimeIP(9), No. 1, March 2014, pp. 79-93.
WWW Link. 1403
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Timofte, R.[Radu], Zimmermann, K.[Karel], Van Gool, L.J.[Luc J.],
Multi-view traffic sign detection, recognition, and 3D localisation,
MVA(25), No. 3, April 2014, pp. 633-647.
WWW Link. 1404
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Earlier: WACV09(1-8).
IEEE DOI 0912
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Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Multi-view manhole detection, recognition, and 3D localisation,
CVRSE11(188-195).
IEEE DOI 1201
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Šegvic, S.[Siniša], Brkic, K.[Karla], Kalafatic, Z.[Zoran], Pinz, A.[Axel],
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle,
MVA(25), No. 3, April 2014, pp. 649-665.
WWW Link. 1404
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Brkic, K.[Karla], Pinz, A.[Axel], Kalafatic, Z.[Zoran], Šegvic, S.[Siniša],
Towards Space-Time Semantics in Two Frames,
ARTEMIS12(III: 121-130).
Springer DOI 1210
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Brkic, K.[Karla], Pinz, A.[Axel], Šegvic, S.[Siniša], Kalafatic, Z.[Zoran],
Histogram-Based Description of Local Space-Time Appearance,
SCIA11(206-217).
Springer DOI 1105
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Brkic, K., Segvic, S., Kalafatic, Z., Sikiric, I., Pinz, A.,
Generative modeling of spatio-temporal traffic sign trajectories,
UCVP10(25-31).
IEEE DOI 1006
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Overett, G.[Gary], Tychsen-Smith, L.[Lachlan], Petersson, L.[Lars], Pettersson, N.[Niklas], Andersson, L.[Lars],
Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics,
MVA(25), No. 3, April 2014, pp. 713-726.
Springer DOI 1404
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Wang, G.Y.[Gang-Yi], Ren, G.H.[Guang-Hui], Jiang, L.H.[Li-Hui], Quan, T.F.[Tai-Fan],
Hole-based traffic sign detection method for traffic signs with red rim,
VC(30), No. 5, May 2014, pp. 539-551.
WWW Link. 1404
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Hazelhoff, L.[Lykele], Creusen, I.M.[Ivo M.], de With, P.H.N.[Peter H.N.],
Exploiting street-level panoramic images for large-scale automated surveying of traffic signs,
MVA(25), No. 7, October 2014, pp. 1893-1911.
WWW Link. 1410
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Earlier:
System for semi-automated surveying of street-lighting poles from street-level panoramic images,
WACV14(129-136)
IEEE DOI 1406
Detectors BibRef

Xu, D.[Dan], Xu, W.[Wei], Tang, Z.M.[Zhen-Min], Liu, F.[Fan],
Exploiting Visual Saliency and Bag-of-Words for Road Sign Recognition,
IEICE(E97-D), No. 9, September 2014, pp. 2473-2482.
WWW Link. 1410
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Yuan, X.[Xue], Hao, X.L.[Xiao-Li], Chen, H.J.[Hou-Jin], Wei, X.[Xueye],
Robust Traffic Sign Recognition Based on Color Global and Local Oriented Edge Magnitude Patterns,
ITS(15), No. 4, August 2014, pp. 1466-1477.
IEEE DOI 1410
affine transforms BibRef

Yuan, X.[Xue], Guo, J., Hao, X.L.[Xiao-Li], Chen, H.J.[Hou-Jin],
Traffic Sign Detection via Graph-Based Ranking and Segmentation Algorithms,
SMCS(45), No. 12, December 2015, pp. 1509-1521.
IEEE DOI 1512
Image color analysis BibRef

Lee, D.J.[Dong-Jin], Yoon, H.[Hosub], Chung, M.A.[Myung-Ae], Kim, J.[Jaehong],
Robust Sign Recognition System at Subway Stations Using Verification Knowledge,
ERRI(36), No. 5, October 2014, pp. 696-703.
DOI Link 1410
For pedestrians in subway stations. BibRef

Jin, J.Q.[Jun-Qi], Fu, K.[Kun], Zhang, C.S.[Chang-Shui],
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks,
ITS(15), No. 5, October 2014, pp. 1991-2000.
IEEE DOI 1410
gradient methods BibRef

Yu, Y.T.[Yong-Tao], Li, J., Guan, H.[Haiyan], Wang, C.[Cheng], Yu, J.[Jun],
Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds,
GeoRS(53), No. 3, March 2015, pp. 1374-1386.
IEEE DOI 1402
feature extraction See also Automated Detection of Three-Dimensional Cars in Mobile Laser Scanning Point Clouds Using DBM-Hough-Forests. See also Marked Point Process for Automated Tree Detection from Mobile Laser Scanning Point Cloud Data, A. See also Semi-Automated Extraction and Delineation of 3D Roads of Street Scene from Mobile Laser Scanning Point Clouds. BibRef

Wu, F.[Fan], Wen, C.L.[Cheng-Lu], Guo, Y.[Yulan], Wang, J.J.[Jing-Jing], Yu, Y.T.[Yong-Tao], Wang, C.[Cheng], Li, J.[Jonathan],
Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach,
ITS(18), No. 2, February 2017, pp. 292-305.
IEEE DOI 1702
Feature extraction BibRef

Liu, C.S.[Chun-Sheng], Chang, F.L.[Fa-Liang], Chen, Z.X.[Zhen-Xue],
Rapid Multiclass Traffic Sign Detection in High-Resolution Images,
ITS(15), No. 6, December 2014, pp. 2394-2403.
IEEE DOI 1412
image colour analysis BibRef

Boumediene, M., Lauffenburger, J.P., Daniel, J., Cudel, C., Ouamri, A.,
Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition,
ITS(15), No. 6, December 2014, pp. 2470-2479.
IEEE DOI 1412
Kalman filters BibRef

Salti, S.[Samuele], Petrelli, A.[Alioscia], Tombari, F.[Federico], Fioraio, N.[Nicola], di Stefano, L.[Luigi],
Traffic sign detection via interest region extraction,
PR(48), No. 4, 2015, pp. 1039-1049.
Elsevier DOI 1502
Mobile mapping BibRef

Seo, Y., Lee, J., Zhang, W., Wettergreen, D.,
Recognition of Highway Workzones for Reliable Autonomous Driving,
ITS(16), No. 2, April 2015, pp. 708-718.
IEEE DOI 1504
Detectors BibRef

Suhr, J.K., Jung, H.G.,
Dense Stereo-Based Robust Vertical Road Profile Estimation Using Hough Transform and Dynamic Programming,
ITS(16), No. 3, June 2015, pp. 1528-1536.
IEEE DOI 1506
Databases BibRef

Mogelmose, A., Liu, D., Trivedi, M.M.,
Detection of U.S. Traffic Signs,
ITS(16), No. 6, December 2015, pp. 3116-3125.
IEEE DOI 1512
Advanced driver assistance systems BibRef

Wen, C., Li, J., Luo, H., Yu, Y., Cai, Z., Wang, H., Wang, C.,
Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data,
ITS(17), No. 1, January 2016, pp. 27-37.
IEEE DOI 1601
Feature extraction BibRef

Liu, C., Chang, F., Chen, Z., Liu, D.,
Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation,
ITS(17), No. 1, January 2016, pp. 79-92.
IEEE DOI 1601
Accuracy BibRef

Yu, Y.T.[Yong-Tao], Li, J.[Jonathan], Wen, C.L.[Cheng-Lu], Guan, H.[Haiyan], Luo, H.[Huan], Wang, C.[Cheng],
Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data,
PandRS(113), No. 1, 2016, pp. 106-123.
Elsevier DOI 1602
Bag-of-visual-phrases BibRef

Shi, Z., Zou, Z., Zhang, C.,
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter,
ITS(17), No. 3, March 2016, pp. 690-700.
IEEE DOI 1603
Feature extraction BibRef

Soilán, M.[Mario], Riveiro, B.[Belén], Martínez-Sánchez, J.[Joaquín], Arias, P.[Pedro],
Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory,
PandRS(114), No. 1, 2016, pp. 92-101.
Elsevier DOI 1604
Mobile mapping BibRef

Tan, M., Wang, B., Wu, Z., Wang, J., Pan, G.,
Weakly Supervised Metric Learning for Traffic Sign Recognition in a LIDAR-Equipped Vehicle,
ITS(17), No. 5, May 2016, pp. 1415-1427.
IEEE DOI 1605
Image recognition BibRef

Mascetti, S.[Sergio], Ahmetovic, D.[Dragan], Gerino, A.[Andrea], Bernareggi, C.[Cristian], Busso, M.[Mario], Rizzi, A.[Alessandro],
Robust traffic lights detection on mobile devices for pedestrians with visual impairment,
CVIU(148), No. 1, 2016, pp. 123-135.
Elsevier DOI 1606
Assistive technologies See also ZebraRecognizer: Pedestrian crossing recognition for people with visual impairment or blindness. BibRef

Liu, C., Chang, F., Liu, C.,
Occlusion-robust traffic sign detection via cascaded colour cubic feature,
IET-ITS(10), No. 5, 2016, pp. 354-360.
DOI Link 1608
computer vision BibRef

Hu, Z., Li, N.,
Vision-based position computation from in-vehicle video log images for road sign inventory,
IET-ITS(10), No. 6, 2016, pp. 414-420.
DOI Link 1608
approximation theory BibRef

Yang, Y., Luo, H., Xu, H., Wu, F.,
Towards Real-Time Traffic Sign Detection and Classification,
ITS(17), No. 7, July 2016, pp. 2022-2031.
IEEE DOI 1608
feature extraction BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Møgelmose, A., Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives,
ITS(17), No. 7, July 2016, pp. 1800-1815.
IEEE DOI 1608
filtering theory BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights,
ISVC16(II: 92-100).
Springer DOI 1701
BibRef

Jensen, M.B.[Morten B.], Philipsen, M.P.[Mark P.], Bahnsen, C.[Chris], Møgelmose, A.[Andreas], Moeslund, T.B.[Thomas B.], Trivedi, M.M.[Mohan M.],
Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors,
ISVC15(I: 774-783).
Springer DOI 1601
BibRef

Rodríguez-Cuenca, B.[Borja], García-Cortés, S.[Silverio], Ordóñez, C.[Celestino], Alonso, M.C.[María C.],
Morphological Operations to Extract Urban Curbs in 3D MLS Point Clouds,
IJGI(5), No. 6, 2016, pp. 93.
DOI Link 1608
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Wang, Y., Zhu, X.X., Zeisl, B., Pollefeys, M.,
Fusing Meter-Resolution 4-D InSAR Point Clouds and Optical Images for Semantic Urban Infrastructure Monitoring,
GeoRS(55), No. 1, January 2017, pp. 14-26.
IEEE DOI 1701
BibRef
Earlier: A1, A2, Only:
Semantic Interpretation of INSAR Estimates Using Optical Images with Application to Urban Infrastructure Monitoring,
CMRT15(153-160).
DOI Link 1602
optical images BibRef

Zheng, H.[Han], Wang, R.[Ruisheng], Xu, S.,
Recognizing Street Lighting Poles From Mobile LiDAR Data,
GeoRS(55), No. 1, January 2017, pp. 407-420.
IEEE DOI 1701
geophysical techniques BibRef

Xu, S., Wang, R.[Ruisheng], Zheng, H.[Han],
Road Curb Extraction From Mobile LiDAR Point Clouds,
GeoRS(55), No. 2, February 2017, pp. 996-1009.
IEEE DOI 1702
geophysical image processing BibRef

Zheng, H.[Han], Tan, F.[Feitong], Wang, R.[Ruisheng],
Pole-like Object Extraction From Mobile Lidar Data,
ISPRS16(B1: 729-734).
DOI Link 1610
BibRef

Hou, Y.L., Hao, X., Chen, H.,
A Cognitively Motivated Method for Classification of Occluded Traffic Signs,
SMCS(47), No. 2, February 2017, pp. 255-262.
IEEE DOI 1702
cognition BibRef

Hosseinyalamdary, S.[Siavash], Yilmaz, A.[Alper],
A Bayesian approach to traffic light detection and mapping,
PandRS(125), No. 1, 2017, pp. 184-192.
Elsevier DOI 1703
Traffic light detection and mapping BibRef

Huang, Z., Yu, Y., Gu, J., Liu, H.,
An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine,
Cyber(47), No. 4, April 2017, pp. 920-933.
IEEE DOI 1704
Computational efficiency BibRef

Lu, X., Wang, Y., Zhou, X., Zhang, Z., Ling, Z.,
Traffic Sign Recognition via Multi-Modal Tree-Structure Embedded Multi-Task Learning,
ITS(18), No. 4, April 2017, pp. 960-972.
IEEE DOI 1704
Benchmark testing BibRef

Aghdam, H.H.[Hamed Habibi], Heravi, E.J.[Elnaz Jahani], Puig, D.[Domenec],
A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time,
IJCV(122), No. 2, April 2017, pp. 246-269.
Springer DOI 1704
BibRef
Earlier:
Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability,
CVRoads16(I: 178-191).
Springer DOI 1611
BibRef

Liu, W., Li, S., Lv, J., Yu, B., Zhou, T., Yuan, H., Zhao, H.,
Real-Time Traffic Light Recognition Based on Smartphone Platforms,
CirSysVideo(27), No. 5, May 2017, pp. 1118-1131.
IEEE DOI 1705
Color, Image color analysis, Interference, Real-time systems, Roads, Smart phones, Vehicles, Finite-state machine, geometry threshold model, kernel extreme learning machine (K-ELM), smartphone, traffic, light, recognition BibRef

Zeng, Y., Xu, X., Shen, D., Fang, Y., Xiao, Z.,
Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features,
ITS(18), No. 6, June 2017, pp. 1647-1653.
IEEE DOI 1706
Color, Computational efficiency, Feature extraction, Image color analysis, Kernel, Neural networks, Training, Traffic sign recognition, color space, convolutional neural network, extreme learning machine, kernel, lab BibRef

Wang, J.[Jinhu], Lindenbergh, R.[Roderik], Menenti, M.[Massimo],
SigVox-A 3D feature matching algorithm for automatic street object recognition in mobile laser scanning point clouds,
PandRS(128), No. 1, 2017, pp. 111-129.
Elsevier DOI 1706
Mobile laser scanning BibRef

Yuan, Y., Xiong, Z., Wang, Q.,
An Incremental Framework for Video-Based Traffic Sign Detection, Tracking, and Recognition,
ITS(18), No. 7, July 2017, pp. 1918-1929.
IEEE DOI 1706
Color, Detectors, Image color analysis, Machine learning, Shape, Target tracking, ITS, Machine learning, detection, incremental learning, recognition, tracking, traffic, sign BibRef

Rehman, Y.[Yawar], Riaz, I.[Irfan], Fan, X.[Xue], Shin, H.[Hyunchul],
D-patches: effective traffic sign detection with occlusion handling,
IET-CV(11), No. 5, August 2017, pp. 368-377.
DOI Link 1707
Type: Article BibRef

Gudigar, A.[Anjan], Chokkadi, S.[Shreesha], Raghavendra, U., Acharya, U.R.[U. Rajendra],
Local texture patterns for traffic sign recognition using higher order spectra,
PRL(94), No. 1, 2017, pp. 202-210.
Elsevier DOI 1708
Entropy BibRef


Fan, Z.[Zhang], Ruirui, J.[Ji], Shangbin, J.[Jiao], Kaijie, Q.[Qi],
A novel saliency computation model for traffic sign detection,
ICIVC17(31-35)
IEEE DOI 1708
Clustering algorithms, Computational modeling, Feature extraction, Image color analysis, Image edge detection, Neural networks, Visualization, clustering, saliency map, self-organizing map neural network, traffic, sign, detection BibRef

Ardianto, S., Chen, C.J., Hang, H.M.,
Real-time traffic sign recognition using color segmentation and SVM,
WSSIP17(1-5)
IEEE DOI 1707
Gabor filters, Histograms, Image color analysis, Image segmentation, Real-time systems, Support vector machines, Binary SVM, Color Segmentation, Gabor filter, HOG, Traffic, Sign, Recognition BibRef

Hebbalaguppe, R., Garg, G., Hassan, E., Ghosh, H., Verma, A.,
Telecom Inventory Management via Object Recognition and Localisation on Google Street View Images,
WACV17(725-733)
IEEE DOI 1609
Computer vision, Google, Inventory management, Object recognition, Pipelines, Support vector machines, Telecommunications BibRef

Hienonen, P.[Petri], Lensu, L.[Lasse], Melander, M.[Markus], Kälviäinen, H.[Heikki],
Framework for Machine Vision Based Traffic Sign Inventory,
SCIA17(I: 197-208).
Springer DOI 1706
BibRef

Xiao, Z., Yang, Z., Geng, L., Zhang, F.,
Traffic Sign Detection Based on Histograms of Oriented Gradients and Boolean Convolutional Neural Networks,
CMVIT17(111-115)
IEEE DOI 1704
Boolean functions BibRef

Chacra, D.A.[David Abou], Zelek, J.S.[John S.],
Road Segmentation in Street View Images Using Texture Information,
CRV16(424-431)
IEEE DOI 1612
Fisher Vectors BibRef

Dhiman, V.[Vikas], Tran, Q.H.[Quoc-Huy], Corso, J.J.[Jason J.], Chandraker, M.[Manmohan],
A Continuous Occlusion Model for Road Scene Understanding,
CVPR16(4331-4339)
IEEE DOI 1612
BibRef

Zhu, Z., Liang, D., Zhang, S., Huang, X., Li, B., Hu, S.,
Traffic-Sign Detection and Classification in the Wild,
CVPR16(2110-2118)
IEEE DOI 1612
BibRef

Naharudin, N., Ahamad, M.S.S., Sadullah, A.F.M.,
GIS Data Collection for Pedestrian Facilities and Furniture Using MAPINR for Android,
GGT16(89-95).
DOI Link 1612
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Youssef, A.[Ali], Albani, D.[Dario], Nardi, D.[Daniele], Bloisi, D.D.[Domenico Daniele],
Fast Traffic Sign Recognition Using Color Segmentation and Deep Convolutional Networks,
ACIVS16(205-216).
Springer DOI 1611
BibRef

Rong, X.J.[Xue-Jian], Yi, C.[Chucai], Tian, Y.[Yingli],
Recognizing Text-Based Traffic Guide Panels with Cascaded Localization Network,
CVRoads16(I: 109-121).
Springer DOI 1611
BibRef

Wiesemann, T.[Thomas], Jiang, X.Y.[Xiao-Yi],
Fog Augmentation of Road Images for Performance Analysis of Traffic Sign Detection Algorithms,
ACIVS16(685-697).
Springer DOI 1611
BibRef

Prinet, V., Wang, J., Lee, J., Wettergreen, D.,
3D road curb extraction from image sequence for automobile parking assist system,
ICIP16(3847-3851)
IEEE DOI 1610
Cameras BibRef

Li, Y.H., Shinohara, T., Satoh, T., Tachibana, K.,
Road Signs Detection And Recognition Utilizing Images And 3d Point Cloud Acquired By Mobile Mapping System,
ISPRS16(B1: 669-673).
DOI Link 1610
BibRef

Soilán, M., Riveiro, B., Martínez-Sánchez, J., Arias, P.,
Automatic Road Sign Inventory Using Mobile Mapping Systems,
ISPRS16(B3: 717-723).
DOI Link 1610
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Yao, Q., Tan, B., Huang, Y.,
Fast Drawing Of Traffic Sign Using Mobile Mapping System,
ISPRS16(B3: 937-944).
DOI Link 1610
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Li, Y., Fan, J., Huang, Y., Chen, Z.,
Lidar-incorporated Traffic Sign Detection From Video Log Images Of Mobile Mapping System,
ISPRS16(B1: 661-668).
DOI Link 1610
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Tsai, V.J.D.[Victor J. D.], Chen, J.H.[Jyun-Han], Huang, H.S.[Hsun-Sheng],
Traffic Sign Inventory From Google Street View Images,
ISPRS16(B4: 243-246).
DOI Link 1610
BibRef

Tastimur, C., Karaköse, M., Çelik, Y., Akin, E.,
Image processing based traffic sign detection and recognition with fuzzy integral,
WSSIP16(1-4)
IEEE DOI 1608
fuzzy set theory BibRef

Agudo, D., Sánchez, Á., Vélez, J.F., Belén Moreno, A.,
Real-time railway speed limit sign recognition from video sequences,
WSSIP16(1-4)
IEEE DOI 1608
image sequences BibRef

Ben Romdhane, N.[Nadra], Mliki, H.[Hazar], El Beji, R.[Rabii], Hammami, M.[Mohamed],
A Comparative Study of Vision-Based Traffic Signs Recognition Methods,
ICIAR16(341-348).
Springer DOI 1608
See also Comparative Study of Vision-Based Lane Detection Methods, A. BibRef

Zadrija, V.[Valentina], Krapac, J.[Josip], Verbeek, J.[Jakob], Šegvic, S.[Siniša],
Patch-Level Spatial Layout for Classification and Weakly Supervised Localization,
GCPR15(492-503).
Springer DOI 1511
BibRef

Moorfield, B.[Bradley], Haeusler, R.[Ralf], Klette, R.[Reinhard],
Bilateral Filtering of 3D Point Clouds for Refined 3D Roadside Reconstructions,
CAIP15(II:394-402).
Springer DOI 1511
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Haltakov, V.[Vladimir], Mayr, J.[Jakob], Unger, C.[Christian], Ilic, S.[Slobodan],
Semantic Segmentation Based Traffic Light Detection at Day and at Night,
GCPR15(446-457).
Springer DOI 1511
BibRef

Diaz, M.[Moises], Cerri, P.[Pietro], Pirlo, G.[Giuseppe], Ferrer, M.A.[Miguel A.], Impedovo, D.[Donato],
A Survey on Traffic Light Detection,
ISCA15(201-208).
Springer DOI 1511
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Hidaka, N., Michikawa, T., Yabuki, N., Fukuda, T., Motamedi, A.,
Creating Product Models from Point Cloud of Civil Structures Based on Geometric Similarity,
Seamless15(137-141).
DOI Link 1508
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Miraliakbari, A., Hahn, M., Sok, S.,
Automatic Extraction of Road Surface and Curbstone Edges from Mobile Laser Scanning Data,
Seamless15(119-124).
DOI Link 1508
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Gim, J.[JaWon], Hwang, M.[MinCheol], Ko, B.C.[Byoung Chul], Nam, J.Y.[Jae-Yeal],
Real-Time Speed-Limit Sign Detection and Recognition Using Spatial Pyramid Feature and Boosted Random Forest,
ICIAR15(437-445).
Springer DOI 1507
BibRef

Frejlichowski, D.[Dariusz],
Application of the Polar: Fourier Greyscale Descriptor to the Automatic Traffic Sign Recognition,
ICIAR15(506-513).
Springer DOI 1507
BibRef

Munawar, A.[Asim], Creusot, C.[Clement],
Structural inpainting of road patches for anomaly detection,
MVA15(41-44)
IEEE DOI 1507
Cameras BibRef

Xu, C.[Chen], Frechet, S.[Simon], Laurendeau, D.[Denis], Miralles, F.[Francois],
Out-of-Core Surface Reconstruction from Large Point Sets for Infrastructure Inspection,
CRV15(313-319)
IEEE DOI 1507
Image reconstruction BibRef

Hazelhoff, L.[Lykele], Creusen, I.[Ivo], Woudsma, T.[Thomas], Bao, X.F.[Xin-Feng], de With, P.H.N.[Peter H.N.],
Combined generation of road marking and road sign databases applied to consistency checking of pedestrian crossings,
MVA15(439-442)
IEEE DOI 1507
Databases BibRef

Belaroussi, R.[Rachid], Gruyer, D.[Dominique],
Road sign-aided estimation of visibility conditions,
MVA15(202-205)
IEEE DOI 1507
Cameras; Detectors; Estimation; Radar; Roads; Vehicles; Visualization BibRef

Pritt, C.,
Road sign detection on a smartphone for traffic safety,
AIPR14(1-6)
IEEE DOI 1504
computer vision BibRef

Hazelhoff, L.[Lykele], Creusen, I.M.[Ivo M.], de With, P.H.N.[Peter H.N.],
Optimal Performance-Efficiency Trade-off for Bag of Words Classification of Road Signs,
ICPR14(2996-3001)
IEEE DOI 1412
Dictionaries BibRef

Chan, T.O., Lichti, D.D.,
Geometric Modelling of Octagonal Lamp Poles,
CloseRange14(145-150).
DOI Link 1411
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Miraliakbari, A., Hahn, M., Maas, H.G.,
Development of a Multi-Sensor System for Road Condition Mapping,
LandImaging14(265-272).
DOI Link 1411
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Varela-González, M., Riveiro, B., Arias-Sánchez, P., González-Jorge, H., Martínez-Sánchez, J.,
A CityGML extension for traffic-sign objects that guides the automatic processing of data collected using Mobile Mapping technology,
LandImaging14(415-420).
DOI Link 1411
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Fernandes, K.[Kelwin], Silva, P.F.B.[Pedro F. B.], Ciobanu, L.[Lucian], Fonseca, P.[Paulo],
Catalogue-Based Traffic Sign Asset Management: Towards User's Effort Minimisation,
ICIAR14(I: 301-308).
Springer DOI 1410
BibRef

Tang, S.S.[Sui-Sui], Huang, L.L.[Lin-Lin],
Traffic Sign Recognition Using Complementary Features,
ACPR13(210-214)
IEEE DOI 1408
feature extraction BibRef

Frey, N.[Nathan], Torralba, A.[Antonio], Stauffer, C.[Christopher],
Unsupervised Non-parametric Geospatial Modeling from Ground Imagery,
WACV14(698-705)
IEEE DOI 1406
Analysis of street level imagery. BibRef

Varadharajan, S.[Srivatsan], Jose, S.[Sobhagya], Sharma, K.[Karan], Wander, L.[Lars], Mertz, C.[Christoph],
Vision for road inspection,
WACV14(115-122)
IEEE DOI 1406
Image segmentation; Inspection; Roads; Robots; Software; Training BibRef

Barranco-Gutiérrez, A.I.[Alejandro Israel], Martínez-Díaz, S.[Saúl], Gómez-Torres, J.L.[José Luis],
An Approach for Utility Pole Recognition in Real Conditions,
PSIVTWS13(113-121).
Springer DOI 1402
BibRef

Zhu, Y.Y.[Ying-Ying], Wang, X.G.[Xing-Gang], Yao, C.[Cong], Bai, X.[Xiang],
Traffic sign classification using two-layer image representation,
ICIP13(3755-3759)
IEEE DOI 1402
Locality-constrained Linear Coding BibRef

Parra, A.[Albert], Zhao, B.[Bin], Haddad, A.[Andrew], Boutin, M.[Mireille], Delp, E.J.[Edward J.],
Hazardous material sign detection and recognition,
ICIP13(2640-2644)
IEEE DOI 1402
Hough Transform; Sign detection; saliency map; shape detection BibRef

Zhang, T.[Tao], Lv, J.Q.[Jing-Qin], Yang, J.[Jie],
Road sign detection based on visual saliency and shape analysis,
ICIP13(3667-3670)
IEEE DOI 1402
Improved radial symmetry transform (IRST) BibRef

Moiseev, B.[Boris], Konev, A.[Artem], Chigorin, A.[Alexander], Konushin, A.[Anton],
Evaluation of Traffic Sign Recognition Methods Trained on Synthetically Generated Data,
ACIVS13(576-583).
Springer DOI 1311
BibRef

Choi, C.W.[Chang-Won], Choi, S.I.[Sung-In], Park, S.Y.[Soon-Yong],
Efficient Detection and Tracking of Road Signs Based on Vehicle Motion and Stereo Vision,
ACIVS13(608-619).
Springer DOI 1311
BibRef

Ellis, L., Pugeault, N., Ofjall, K., Hedborg, J., Bowden, R., Felsberg, M.,
Autonomous navigation and sign detector learning,
WORV13(144-151)
IEEE DOI 1307
control engineering computing BibRef

Miyata, S.[Shigeharu], Takehara, S.[Shin], Sakai, H.[Hideki], Ishikawa, T.[Takahiro],
Method for recognition of numbers on speed limit signs utilizing an eigen space method based on the KL transform,
ICARCV12(377-382).
IEEE DOI 1304
BibRef

Liu, W.[Wei], Wu, Y.[Yonghua], Lv, J.[Jin], Yuan, H.[Huai], Zhao, H.[Hong],
U.S. speed limit sign detection and recognition from image sequences,
ICARCV12(1437-1442).
IEEE DOI 1304
BibRef

Zhao, G.Q.[Gang-Qiang], Yuan, J.S.[Jun-Song],
Curb detection and tracking using 3D-LIDAR scanner,
ICIP12(437-440).
IEEE DOI 1302
BibRef

Li, C.[Ce], Hu, Y.L.[Ya-Ling], Xiao, L.[Limei], Tian, L.H.[Li-Hua],
Salient traffic sign recognition based on sparse representation of visual perception,
CVRS12(273-278).
IEEE DOI 1302
BibRef

Puente, I., González-jorge, H., Riveiro, B., Arias, P.,
Deformation Monitoring of Motorway Underpasses Using Laser Scanning Data,
ISPRS12(XXXIX-B5:235-238).
DOI Link 1209
BibRef

Qi, X., Lichti, D.D.[Derek D.],
Dynamic Concrete Beam Deformation Measuremnet With 3d Range Cameras,
ISPRS12(XXXIX-B5:239-244).
DOI Link 1209
BibRef

Ji, S., Shi, Y., Shi, Z.,
Manhole Cover Detection Using Vehicle-based Multi-sensor Data,
ISPRS12(XXXIX-B3:281-284).
DOI Link 1209
BibRef

Hu, X., Zhu, X., Li, D.,
Traffic Sign Detection Based On Biologically Visual Mechanism,
ISPRS12(XXXIX-B3:217-221).
DOI Link 1209
BibRef

Shahbazi, M., Sattari, M., Homayouni, S., Saadatseresht, M.,
Implementation And Evaluation Of A Mobile Mapping System Based On Integrated Range And Intensity Images For Traffic Signs Localization,
ISPRS12(XXXIX-B5:51-56).
DOI Link 1209
BibRef
And: ISPRS12(XXXIX-B5:505-510).
DOI Link 1209
BibRef

Vavilin, A., Deb, K., Kim, T.H., Jo, K.,
Road sign detection method based on fast HDR image generation technique,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef

Hazelhoff, L.[Lykele], Creusen, I.M.[Ivo M.], de With, P.H.N.[Peter H.N.],
Robust classification system with reliability prediction for semi-automatic traffic-sign inventory systems,
WACV13(125-132).
IEEE DOI 1303
BibRef
Earlier:
Robust classification of traffic signs using multi-view cues,
ICIP12(457-460).
IEEE DOI 1302
BibRef
And:
Robust detection, classification and positioning of traffic signs from street-level panoramic images for inventory purposes,
WACV12(313-320).
IEEE DOI 1203
BibRef

Creusen, I.M.[Ivo M.], Hazelhoff, L.[Lykele], de With, P.H.N.[Peter H.N.],
Color transformation for improved traffic sign detection,
ICIP12(461-464).
IEEE DOI 1302
BibRef

Creusen, I.M., Wijnhoven, R.G.J., Herbschleb, E., de With, P.H.N.,
Color exploitation in hog-based traffic sign detection,
ICIP10(2669-2672).
IEEE DOI 1009
BibRef

Bertozzi, M.[Massimo], Broggi, A.[Alberto], Boccalini, G.[Gionata], Mazzei, L.[Luca],
Fast Vision-Based Road Tunnel Detection,
CIAP11(II: 424-433).
Springer DOI 1109
BibRef

Deguchi, D.[Daisuke], Doman, K.[Keisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi],
Improvement of a Traffic Sign Detector by Retrospective Gathering of Training Samples from In-Vehicle Camera Image Sequences,
CVVT10(204-213).
Springer DOI 1109
BibRef

Chen, Z.X.[Zhi-Xie], Yang, J.[Jing], Kong, B.[Bin],
A Robust Traffic Sign Recognition System for Intelligent Vehicles,
ICIG11(975-980).
IEEE DOI 1109
BibRef

Yokoyama, H.[Hiroki], Date, H.[Hiroaki], Kanai, S.[Satoshi], Takeda, H.[Hiroshi],
Pole-Like Objects Recognition From Mobile Laser Scanning Data Using Smoothing And Principal Component Analysis,
Laser11(xx-yy).
DOI Link 1109
BibRef

Ihara, A.[Arihito], Fujiyoshi, H.[Hironobu], Takagi, M.[Masanari], Kumon, H.[Hiroaki], Tamatsu, Y.[Yukimasa],
Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces,
MVA09(130-).
PDF File. 0905
BibRef

Ninot, J.[Jérôme], Smadja, L.[Laurent], Heggarty, K.[Kevin],
Road Sign Recognition Using A Hybrid Evolutionary Algorithm And Primitives Fusion,
PCVIA10(A:287).
PDF File. 1009
BibRef

Belaroussi, R.[Rachid], Foucher, P.[Philippe], Tarel, J.P.[Jean-Philippe], Soheilian, B.[Bahman], Charbonnier, P.[Pierre], Paparoditis, N.[Nicolas],
Road Sign Detection in Images: A Case Study,
ICPR10(484-488).
IEEE DOI 1008
BibRef

Li, Y.[Ying], Pankanti, S.[Sharath], Guan, W.[Weiguang],
Real-Time Traffic Sign Detection: An Evaluation Study,
ICPR10(3033-3036).
IEEE DOI 1008
BibRef

Muyan-Özçelik, P.[Pinar], Glavtchev, V.[Vladimir], Ota, J.M.[Jeffrey M.], Owens, J.D.[John D.],
A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing,
DAGM10(162-171).
Springer DOI 1009
BibRef

Mcelhinney, C., Kumar, P., Cahalane, C., McCarthy, T.,
Initial Results From European Road Safety Inspection (EURSI) Mobile Mapping Project,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Chen, C.[Cheng], Tian, Y.[Yingli],
Door detection via signage context-based Hierarchical Compositional Model,
UCVP10(1-6).
IEEE DOI 1006
Not roads, but signs. BibRef

Xu, Q.S.[Qing-Song], Su, J.[Juan], Liu, T.T.[Tian-Tian],
A detection and recognition method for prohibition traffic signs,
IASP10(583-586).
IEEE DOI 1004
BibRef

Li, Q.[Qi], Tao, D.C.[Da-Cheng],
Detecting image points of general imbalance,
ICIP09(337-340).
IEEE DOI 0911
for road signs. In sparse textures. BibRef

Khan, J.F.[Jesmin F.], Bhuiyan, S.M.A.[Sharif M. A.], Adhami, R.R.[Reza R.],
Distortion invariant road sign detection,
ICIP09(841-844).
IEEE DOI 0911
BibRef

Fifik, M., Turan, J., Ovsenik, L.,
Detection System for Traffic Road Singns in Surrounding Environment,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Ren, F.X.[Fei-Xiang], Huang, J.S.[Jin-Sheng], Jiang, R.[Ruyi], Klette, R.,
General traffic sign recognition by feature matching,
IVCNZ09(409-414).
IEEE DOI 0911
BibRef

Belaroussi, R.[Rachid], Tarel, J.P.[Jean-Philippe],
Angle vertex and bisector geometric model for triangular road sign detection,
WACV09(1-7).
IEEE DOI 0912
BibRef
And:
A Real-Time Road Sign Detection Using Bilateral Chinese Transform,
ISVC09(II: 1161-1170).
Springer DOI 0911
See also Real Time Fingers Detection by Symmetry Transform Using a Two Cameras System, A. BibRef

Cao, T.P.[Tam Phuong], Deng, G.[Guang],
Real-Time Vision-Based Stop Sign Detection System on FPGA,
DICTA08(465-471).
IEEE DOI 0812
BibRef

Arlicot, A., Soheilian, B., Paparoditis, N.,
Circular Road Sign Extraction from Street Level Images using Colour, Shape and Texture Database Maps,
CMRT09(205-210).
PDF File. 0909
BibRef

Muhammad, A.S.[Azam Sheikh], Lavesson, N.[Niklas], Davidsson, P.[Paul], Nilsson, M.[Mikael],
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images,
CAIP09(1220-1227).
Springer DOI 0909
BibRef

Zou, H.S.[Hua-Sheng],
Study on roadbed disease recognition algorithm based on support vector machine,
IASP09(362-365).
IEEE DOI 0904
BibRef

Turan, J., Fifik, M., Ovsenik, L.,
Transform based system for traffic sign recognition,
WSSIP08(441-444).
IEEE DOI 0806
BibRef

Kim, J.S.[Jin-Soo], Lee, J.C.[Jong-Chool], Kang, I.J.[In-Joon], Cha, S.Y.[Sung-Yeoul], Choi, H.[Hyun], Lee, T.G.[Tack-Gon],
Extraction of Geometric Information on Highway Using Terrestrial Laser Scanning Technology,
ISPRS08(B5: 539 ff).
PDF File. 0807
BibRef

Lopez, L.D.[Luis David], Fuentes, O.[Olac],
Color-Based Road Sign Detection and Tracking,
ICIAR07(1138-1147).
Springer DOI 0708
BibRef

Cyganek, B.[Boguslaw],
Object Recognition with the HOSVD of the Multi-model Space-Variant Pattern Tensors,
CAIP11(I: 435-442).
Springer DOI 1109
BibRef
Earlier:
An Analysis of the Road Signs Classification Based on the Higher-Order Singular Value Decomposition of the Deformable Pattern Tensors,
ACIVS10(II: 191-202).
Springer DOI 1012
BibRef
And:
Traffic Scene Segmentation and Robust Filtering for Road Signs Recognition,
ICCVG10(I: 292-299).
Springer DOI 1009
BibRef
Earlier:
A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef
Earlier:
Road-Signs Recognition System for Intelligent Vehicles,
RobVis08(219-233).
Springer DOI 0802
BibRef
Earlier:
Real-Time Detection of the Triangular and Rectangular Shape Road Signs,
ACIVS07(744-755).
Springer DOI 0708
BibRef
And:
Road Signs Recognition by the Scale-Space Template Matching in the Log-Polar Domain,
IbPRIA07(I: 330-337).
Springer DOI 0706
Originally applied to OCR, but more issues for signs. See also Computational Framework for Family of Order Statistic Filters for Tensor Valued Data. BibRef

Hwang, T.H.[Tae-Hyun], Joo, I.H.[In-Hak], Cho, S.I.[Seong-Ik],
Detection of Traffic Lights for Vision-Based Car Navigation System,
PSIVT06(682-691).
Springer DOI 0612
BibRef

Vázquez-Reina, A., López-Sastre, R.J., Siegmann, P., Lafuente-Arroyo, S., Gómez-Moreno, H.,
An Approach to the Recognition of Informational Traffic Signs Based on 2-D Homography and SVMs,
ACIVS06(1163-1173).
Springer DOI 0609
BibRef

Tsai, Y.C.J.[Yi-Chang James], Wu, J.P.[Jian-Ping], Wu, Y.C.[Yi-Ching], Wang, Z.H.[Zhao-Hua],
Automatic Roadway Geometry Measurement Algorithm Using Video Images,
CIAP05(669-678).
Springer DOI 0509
BibRef

Lombardi, L.[Luca], Marmo, R.[Roberto], Toccalini, A.[Andrea],
Automatic Recognition of Road Sign Passo-Carrabile,
CIAP05(1059-1067).
Springer DOI 0509
BibRef

Ballerini, R.[Roberto], Cinque, L.[Luigi], Lombardi, L.[Luca], Marmo, R.[Roberto],
Rectangular Traffic Sign Recognition,
CIAP05(1101-1108).
Springer DOI 0509
BibRef

Silapachote, P., Weinman, J., Hanson, A.R., Mattar, M.A., Weiss, R.,
Automatic Sign Detection and Recognition in Natural Scenes,
VisImpaired05(III: 27-27).
IEEE DOI 0507
BibRef

Silapachote, P.[Piyanuch], Hanson, A.R.[Allen R.], Weiss, R.[Richard],
A Hierarchical Approach to Sign Recognition,
WACV05(I: 22-28).
IEEE DOI 0502
BibRef

Mattar, M.A., Hanson, A.R., Learned-Miller, E.G.,
Sign Classification using Local and Meta-Features,
VisImpaired05(III: 26-26).
IEEE DOI 0507
BibRef

Oh, J.T.[Jun-Taek], Kwak, H.W.[Hyun-Wook], Sohn, Y.H.[Young-Ho], Kim, W.H.[Wook-Hyun],
Segmentation and Recognition of Traffic Signs Using Shape Information,
ISVC05(519-526).
Springer DOI 0512
BibRef

von Trzebiatowski, M.S., Gern, A., Franke, U., Kaeppeler, U.P., Levi, P.,
Detecting reflection posts: Lane recognition on country roads,
IVS04(304-309).
WWW Link. 0411
BibRef

Hofler, H., Dambacher, M., Dimopoulos, N., Jetter, V.,
Monitoring and inspecting overhead wires and supporting structures,
IVS04(512-517).
WWW Link. 0411
BibRef

Lindner, F., Kressel, U., Kaelberer, S.,
Robust recognition of traffic signals,
IVS04(49-53).
WWW Link. 0411
BibRef

Loy, G., and Barnes, N.M.,
Fast Shape-based Road Sign Detection for a Driver Assistance System,
IROS04(xx-yy). Road sign reader, as seen on CNN and elsewhere. BibRef 0400

Paletta, L.,
Detection of traffic signs using posterior classifier combination,
ICPR02(II: 705-708).
IEEE DOI 0211
BibRef

Vitabile, S., Pollaccia, G., Pilato, G., Sorbello, E.,
Road signs recognition using a dynamic pixel aggregation technique in the HSV color space,
CIAP01(572-577).
WWW Link. 0210
BibRef

Vitabile, S., Pilato, G., Pullara, F., Sorbello, F.,
A navigation system for vision-guided mobile robots,
CIAP99(566-571).
IEEE DOI 9909
BibRef

Shaposhnikov, D.G., Podladchikova, L.N., Golovan, A.V., Shevtsova, N.A.,
Road Sign Recognition by Single Positioning of Space-Variant Sensor Window,
VI02(213).
PDF File. 0208
BibRef

Nishibe, Y., Wu, H., Shioyama, T.,
Detection of Train Platform Curb with Image Sensor,
SCIA01(P-W5). 0206
BibRef

Bérubé Lauzière, Y.[Yves], Gingras, D.[Denis], Ferrie, F.P.[Frank P.],
A Model-Based Road Sign Identification System,
CVPR01(I:1163-1170).
IEEE DOI 0110
Color, Shape and appearance. BibRef

Foresti, G.L., Pani, B.,
Monitoring motorway infrastructures for detection of dangerous events,
CIAP99(1144-1147).
IEEE DOI 9909
See also On-line trajectory clustering for anomalous events detection. BibRef

Schiekel, C.,
A Fast Traffic Sign Recognition Algorithm for Gray Value Images,
CAIP99(588-595).
Springer DOI 9909
BibRef

Nicholls, D.C., Murray, D.W.,
Applying Visual Processing to GPS Mapping of Trackside Structures,
BMVC98(841-851).
HTML Version. BibRef 9800

Lanser, S.[Stefan], Zierl, C.[Christoph], Munkelt, O.[Olaf], Radig, B.[Bernd],
MORAL: A vision-based object recognition system for autonomous mobile systems,
CAIP97(33-41).
Springer DOI 9709
BibRef

Laurent, J., Talbot, M., Doucet, M.,
Road Surface Inspection Using Laser Scanners,
3DIM97(12 - Applications) 9702
BibRef

Janet, J.A., White, M.W., Chase, T.A., Luo, R.C., Sutto, J.C.,
Pattern analysis for autonomous vehicles with the region- and feature-based neural network: global self-localization and traffic sign recognition,
CRA96(IV: 3598-3604). BibRef 9600

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Railroads, Inspection, Obstacles .


Last update:Aug 9, 2017 at 18:37:22