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ECVW13(604-609)
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embedded system; intelligent driver assistance systems; lane detection.
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Elsevier DOI
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Earlier: A2, A1, A3:
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CAIP13(II:50-58).
Springer DOI
1311
Lane model
BibRef
Mathibela, B.,
Newman, P.,
Posner, I.,
Reading the Road: Road Marking Classification and Interpretation,
ITS(16), No. 4, August 2015, pp. 2072-2081.
IEEE DOI
1508
Feature extraction
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Jung, C.R.,
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ITS(16), No. 6, December 2015, pp. 3160-3169.
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1512
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Image edge detection
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Cortés, A.[Andoni],
Otaegui, O.[Oihana],
Arróspide, J.[Jon],
Salgado, L.[Luis],
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Cui, D.,
Xue, J.,
Zheng, N.,
Real-Time Global Localization of Robotic Cars in Lane Level via Lane
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ITS(17), No. 4, April 2016, pp. 1039-1050.
IEEE DOI
1604
Accuracy
BibRef
Du, X.,
Tan, K.K.,
Comprehensive and Practical Vision System for Self-Driving Vehicle
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IP(25), No. 5, May 2016, pp. 2075-2088.
IEEE DOI
1604
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Niu, J.W.[Jian-Wei],
Lu, J.[Jie],
Xu, M.L.[Ming-Liang],
Lv, P.[Pei],
Zhao, X.[Xiaoke],
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Elsevier DOI
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Lane detection
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Das, A.,
Srinivasa Murthy, S.,
Suddamalla, U.,
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Cheng, G.,
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Xu, S.,
Wang, H.,
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Pan, C.,
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Automobiles, Data mining, Feature extraction, Image segmentation,
Neural networks, Remote sensing, Roads,
Cascaded convolutional neural network (CasNet), end-to-end,
road centerline extraction, road, detection
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Yoo, J.H.,
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A Robust Lane Detection Method Based on Vanishing Point Estimation
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ITS(18), No. 12, December 2017, pp. 3254-3266.
IEEE DOI
1712
Estimation, Feature extraction, Image color analysis,
Image segmentation, Probabilistic logic, Roads, Robustness,
vanishing point estimation
BibRef
Vivacqua, R.P.D.,
Bertozzi, M.,
Cerri, P.,
Martins, F.N.,
Vassallo, R.F.,
Self-Localization Based on Visual Lane Marking Maps: An Accurate
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ITS(19), No. 2, February 2018, pp. 582-597.
IEEE DOI
1802
Cameras, Laser radar, Roads, Robustness, Sensors, Visualization,
Autonomous driving, computer vision, dead reckoning,
mapping and localization
BibRef
Ye, Y.Y.[Yang Yang],
Hao, X.L.[Xiao Li],
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Lane detection method based on lane structural analysis and CNNs,
IET-ITS(12), No. 6, August 2018, pp. 513-520.
DOI Link
1807
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John, V.[Vijay],
Liu, Z.[Zheng],
Mita, S.[Seiichi],
Guo, C.Z.[Chun-Zhao],
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WWW Link.
1808
BibRef
Earlier: A1, A2, A4, A3, A5:
Real-Time Lane Estimation Using Deep Features and Extra Trees
Regression,
PSIVT15(721-733).
Springer DOI
1602
BibRef
Park, J.M.[Jeong Min],
Lee, J.W.[Joon Woong],
Lane estimation by particle-filtering combined with likelihood
computation of line boundaries and motion compensation,
IVC(79), 2018, pp. 11-24.
Elsevier DOI
1811
Probabilistic lane estimation, Likelihood computation,
Motion compensation, ROI weighting, Two-step particle filtering
BibRef
Zhang, J.[Jie],
Xu, Y.[Yi],
Ni, B.B.[Bing-Bing],
Duan, Z.Y.[Zhen-Yu],
Geometric Constrained Joint Lane Segmentation and Lane Boundary
Detection,
ECCV18(I: 502-518).
Springer DOI
1810
BibRef
Lee, S.,
Kim, J.,
Yoon, J.S.,
Shin, S.,
Bailo, O.,
Kim, N.,
Lee, T.H.,
Hong, H.S.,
Han, S.H.,
Kweon, I.S.,
VPGNet: Vanishing Point Guided Network for Lane and Road Marking
Detection and Recognition,
ICCV17(1965-1973)
IEEE DOI
1802
computer vision, feature extraction, image colour analysis,
image recognition, object detection, rain, road vehicles, roads,
Roads
BibRef
Bailo, O.,
Lee, S.,
Rameau, F.,
Yoon, J.S.,
Kweon, I.S.,
Robust Road Marking Detection and Recognition Using Density-Based
Grouping and Machine Learning Techniques,
WACV17(760-768)
IEEE DOI
1609
Cameras, Feature extraction, Image edge detection, Lighting,
Neural networks, Roads, Robustness
BibRef
Parajuli, A.[Avishek],
Celenk, M.[Mehmet],
Riley, H.B.[H. Bryan],
Performance Assessment of Predictive Lane Boundary Detection for
Non-uniformly Illuminated Roadway Driving Assistance,
CRV16(170-177)
IEEE DOI
1612
Driving Assistance Roadway Features
BibRef
Kim, H.S.[Hee-Soo],
Beak, S.H.[Seung-Hae],
Park, S.Y.[Soon-Yong],
Parallel Hough Space Image Generation Method for Real-Time Lane
Detection,
ACIVS16(81-91).
Springer DOI
1611
BibRef
Takahashi, G.,
Takeda, H.,
Nakamura, K.,
Drawing for Traffic Marking Using Bidirectional Gradient-based
Detection with MMS Lidar Intensity,
ISPRS16(B5: 725-732).
DOI Link
1610
BibRef
Saussard, R.[Romain],
Bouzid, B.[Boubker],
Vasiliu, M.[Marius],
Reynaud, R.[Roger],
The embeddability of lane detection algorithms on heterogeneous
architectures,
ICIP15(4694-4697)
IEEE DOI
1512
ADAS; Embedded Processing; Lane Detection
BibRef
Chen, T.[Tao],
Lu, S.[Shijian],
Context-aware lane marking detection on urban roads,
ICIP15(2557-2561)
IEEE DOI
1512
Lane marking; MSER; context-aware features; detection
BibRef
Teng, S.Y.[Shan-Yun],
Chuang, K.T.[Kun-Ta],
Huang, C.R.[Chun-Rong],
Li, C.C.[Cheng-Chun],
Lane detection in surveillance videos using vector-based hierarchy
clustering and density verification,
MVA15(345-348)
IEEE DOI
1507
Global Positioning System
BibRef
Chen, Y.C.[Yu-Chun],
Su, T.F.[Te-Feng],
Lai, S.H.[Shang-Hong],
Integrated Vehicle and Lane Detection with Distance Estimation,
IMEV14(473-485).
Springer DOI
1504
BibRef
Li, C.[Cheng],
Creusen, I.[Ivo],
Hazelhoff, L.[Lykele],
de With, P.H.N.[Peter H. N.],
Detection and Recognition of Road Markings in Panoramic Images,
IVVT14(448-458).
Springer DOI
1504
BibRef
Mazurek, P.[Przemyslaw],
Shallow Convolutional Neural Network and Viterbi Algorithm for Dim Line
Tracking,
ICCVG18(375-384).
Springer DOI
1810
BibRef
And:
Directional Filter and the Viterbi Algorithm for Line Following Robots,
ICCVG14(428-435).
Springer DOI
1410
BibRef
Aly, M.,
Real time detection of lane markers in urban streets,
IVS08(7-12).
IEEE DOI
BibRef
0800
Truong, Q.B.[Quoc Bao],
Lee, B.R.[Byung Ryong],
Heo, N.G.[Nam Geon],
Yum, Y.J.[Young Jim],
Kim, J.G.[Jong Gook],
Lane boundaries detection algorithm using vector lane concept,
ICARCV08(2319-2325).
IEEE DOI
1109
BibRef
Benmansour, N.,
Labayrade, R.,
Aubert, D.,
Glaser, S.,
Gruyer, D.,
A model driven 3D lane detection system using stereovision,
ICARCV08(1277-1282).
IEEE DOI
1109
BibRef
Liu, X.[Xin],
Dai, B.[Bin],
Song, J.Z.[Jin-Ze],
He, H.[Hangen],
Zhang, B.[Bo],
Real-Time Long-Range Lane Detection and Tracking for Intelligent
Vehicle,
ICIG11(654-659).
IEEE DOI
1109
See also Visual Saliency Based on Scale-Space Analysis in the Frequency Domain.
BibRef
An, X.J.[Xiang-Jing],
Li, J.[Jian],
Shang, E.[Erke],
He, H.[Hangen],
Multi-scale and Multi-orientation Local Feature Extraction for Lane
Detection Using High-Level Information,
ICIG11(576-581).
IEEE DOI
1109
BibRef
Li, J.[Jian],
An, X.J.[Xiang-Jing],
He, H.[Hangen],
Lane Detection Based on Visual Attention,
ICIG11(570-575).
IEEE DOI
1109
BibRef
Shang, E.[Erke],
Li, J.[Jian],
An, X.J.[Xiang-Jing],
He, H.[Hangen],
Lane Detection Using Steerable Filters and FPGA-based Implementation,
ICIG11(908-913).
IEEE DOI
1109
BibRef
Ben Romdhane, N.[Nadra],
Hammami, M.[Mohamed],
Ben-Abdallah, H.[Hanene],
A Comparative Study of Vision-Based Lane Detection Methods,
ACIVS11(46-57).
Springer DOI
1108
See also Comparative Study of Vision-Based Traffic Signs Recognition Methods, A.
BibRef
Ammar, M.[Moez],
Le Hégarat-Mascle, S.[Sylvie],
Mounier, H.[Hugues],
Road Surface Marking Classification Based on a Hierarchical Markov
Model,
ICIAR11(II: 348-359).
Springer DOI
1106
See also A-contrario Approach for Obstacle Detection in Assistance Driving Systems, An.
BibRef
Hara, T.[Takayuki],
Aoki, Y.[Yoshimitsu],
A robust road marking detection method with pseudo-top-view images for
creating database,
FCV11(1-5).
IEEE DOI
1102
BibRef
Wong, D.,
Deguchi, D.[Daisuke],
Ide, I.[Ichiro],
Murase, H.[Hiroshi],
Position Interpolation Using Feature Point Scale for Decimeter Visual
Localization,
CVRoads15(90-97)
IEEE DOI
1602
Cameras
BibRef
Noda, M.[Masafumi],
Takahashi, T.[Tomokazu],
Deguchi, D.[Daisuke],
Ide, I.[Ichiro],
Murase, H.[Hiroshi],
Kojima, Y.[Yoshiko],
Naito, T.[Takashi],
Vehicle Ego-Localization by Matching In-Vehicle Camera Images to an
Aerial Image,
CVVT10(163-173).
Springer DOI
1109
BibRef
Earlier:
Recognition of Road Markings from In-Vehicle Camera Images by a
Generative Learning Method,
MVA09(514-).
PDF File.
0905
BibRef
Cheng, G.,
Qian, Y.,
Elder, J.H.[James H.],
Fusing Geometry and Appearance for Road Segmentation,
CVRoads17(166-173)
IEEE DOI
1802
Adaptation models, Computational modeling, Dictionaries,
Image segmentation, Meteorology, Roads, Training
BibRef
Corral, E.[Eduardo],
Elder, J.H.[James H.],
Probabilistic Detection and Grouping of Highway Lane Marks,
CGC10(311).
PDF File.
1006
BibRef
Jiang, Y.[Yan],
Gao, F.[Feng],
Xu, G.[Guoyan],
Computer vision-based multiple-lane detection on straight road and in a
curve,
IASP10(114-117).
IEEE DOI
1004
BibRef
Borkar, A.[Amol],
Hayes, M.[Monson],
Smith, M.T.[Mark T.],
A Template Matching and Ellipse Modeling Approach to Detecting Lane
Markers,
ACIVS10(II: 179-190).
Springer DOI
1012
BibRef
Earlier:
Robust lane detection and tracking with ransac and Kalman filter,
ICIP09(3261-3264).
IEEE DOI
0911
BibRef
And:
Lane Detection and Tracking Using a Layered Approach,
ACIVS09(474-484).
Springer DOI
0909
BibRef
Shi, X.J.[Xue-Jie],
Kong, B.[Bin],
Zheng, F.[Fei],
A New Lane Detection Method Based on Feature Pattern,
CISP09(1-5).
IEEE DOI
0910
BibRef
Gao, T.[Tianshi],
Aghajan, H.[Hamid],
Self lane assignment using egocentric smart mobile camera for
intelligent GPS navigation,
Egocentric09(57-62).
IEEE DOI
0906
BibRef
Su, C.Y.[Chung-Yen],
Fan, G.H.[Gen-Hau],
An Effective and Fast Lane Detection Algorithm,
ISVC08(II: 942-948).
Springer DOI
0812
BibRef
Kang, Y.[Yousun],
Yamaguchi, K.[Koichiro],
Naito, T.[Takashi],
Ninomiya, Y.[Yoshiki],
Road Image Segmentation and Recognition Using Hierarchical
Bag-of-Textons Method,
PSIVT11(I: 248-256).
Springer DOI
1111
See also Feature Interaction Descriptor for Pedestrian Detection.
BibRef
Yamaguchi, K.[Koichiro],
Watanabe, A.[Akihiro],
Naito, T.[Takashi],
Ninomiya, Y.[Yoshiki],
Road region estimation using a sequence of monocular images,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Asai, T.[Toshihiro],
Yamaguchi, K.[Koichiro],
Kojima, Y.[Yoshiko],
Naito, T.[Takashi],
Ninomiya, Y.[Yoshiki],
3D Line Reconstruction of a Road Environment Using an In-Vehicle Camera,
ISVC08(II: 897-904).
Springer DOI
0812
BibRef
Lipski, C.[Christian],
Scholz, B.[Bjorn],
Berger, K.[Kai],
Linz, C.[Christian],
Stich, T.[Timo],
Magnor, M.[Marcus],
A Fast and Robust Approach to Lane Marking Detection and Lane Tracking,
Southwest08(57-60).
IEEE DOI
0803
BibRef
López, A.M.[Antonio M.],
Serrat, J.[Joan],
Cañero, C.[Cristina],
Lumbreras, F.[Felipe],
Robust Lane Lines Detection and Quantitative Assessment,
IbPRIA07(I: 274-281).
Springer DOI
0706
BibRef
Labayrade, R.,
How Autonomous Mapping Can Help a Road Lane Detection System ?,
ICARCV06(1-6).
IEEE DOI
0612
BibRef
Samadzadegan, F.,
Sarafraz, A.,
Tabibi, M.,
Automatic lane detection in image sequences for vision based navigation
purposes,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Roncella, R.,
Forlani, G.[Gianfranco],
Automatic lane parameters extraction in mobile mapping sequences,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Dupuis, J.,
Parizeau, M.,
Evolving a Vision-Based Line-Following Robot Controller,
CRV06(75-75).
IEEE DOI
0607
BibRef
Nourine, R.,
Boudihir, M.E.[M. Elarbi],
Khelifi, S.F.,
Application of Radon Transform to Lane Boundaries Tracking,
ICIAR04(II: 563-571).
Springer DOI
0409
BibRef
Cramer, H.,
Scheunert, U.,
Wanielik, G.,
A new approach for tracking lanes by fusing image measurements with map
data,
IVS04(607-612).
IEEE DOI
0411
BibRef
Dal Poz, A.P.[Aluir Porfírio],
Oliveira da Silva, M.A.[Marco Aurélio],
Active Testing and Edge Analysis for Road Centreline Extraction,
PCV02(B: 44).
0305
BibRef
Toth, C.K.[Charles K.],
Grejner-Brzezinska, D.A.[Dorota A.],
Near Real-Time Road Centerline Extraction,
PCV02(A: 362).
0305
BibRef
Muck, K.,
Nagel, H.H.,
Middendorf, M.,
Data-Driven Extraction of Curved Intersection Lanemarks from Road
Traffic Image Sequences,
ECCV00(II: 411-427).
Springer DOI
0003
BibRef
Behringer, R.,
Hötzl, S.,
Simultaneous Estimation of Pitch Angle and Lane Width
from the Video Image of a Marked Road,
IROS94(xx).
BibRef
9400
Kreucher, C.,
Lakshmanan, S.,
A Frequency Domain Approach to Lane Detection in Roadway Images,
ICIP99(II:31-35).
IEEE DOI
BibRef
9900
Descombes, X.,
Stoica, R.,
Zerubia, J.,
Two Markov point processes for simulating line networks,
ICIP99(II:36-40).
IEEE DOI Applied to Roads.
BibRef
9900
Yu, B., and
Jain, A.K.,
Lane Boundary Detection Using a Multiresolution Hough Transform,
ICIP97(II: 748-751).
IEEE DOI
BibRef
9700
Diebolt, F.[Frank],
Road Markings Recognition,
ICIP96(II: 669-672).
IEEE DOI
BibRef
9600
Inglebert, C.,
Road Line Tracking: An Approach Based On Spatio-Temporal Surface,
ICPR92(I:224-227).
IEEE DOI
BibRef
9200
Campbell, N.W.,
Thomas, B.T.,
Lane Boundary Tracking for an Autonomous Road Vehicle,
BMVC92(xx-yy).
PDF File.
9209
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces .