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Image edge detection; Kalman filters; driver assistance;
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Earlier:
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ECVW13(604-609)
IEEE DOI
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Accuracy.
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
BibRef
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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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Jung, S.,
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1601
Image edge detection
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Nieto, M.[Marcos],
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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modified min-between-max thresholding
BibRef
Cheng, G.,
Wang, Y.,
Xu, S.,
Wang, H.,
Xiang, S.,
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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Piao, J.C.[Jing-Chun],
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Yoo, J.H.,
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Kim, D.H.,
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
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],
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 .