15.3.3.3 Lane Detection, Lane Following, White Line Detection

mSonar,
2011
WWW Link. Vendor, Lane Following. 1106
Phone app to follow lanes using camera phone. Applied to navigation. From Lustancia LTD.

Barnes, R.R.[Robert R.], Myers, C.L.[Charles L.],
Driver alert system,
US_Patent4,348,652, Sep 7, 1982
WWW Link. Line detection using IR illumination. BibRef 8209

Tsuchihashi, T.[Toshio],
Vehicle for driving along a lead line,
US_Patent4,588,041, May 13, 1986
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Yamamoto, K.[Kenzo],
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US_Patent4,593,239, Jun 3, 1986
WWW Link. BibRef 8606

Swenson, R.R.[Ronald R.],
Floor position sensing apparatus and method,
US_Patent4,613,804, Sep 23, 1986
WWW Link. follow marked path BibRef 8609

Barton, R.R.[Russell R.],
Vehicle tracking system,
US_Patent4,630,109, Dec 16, 1986
WWW Link. Follow distinct white stripe. BibRef 8612

Kenue, S.K.,
LANELOK: Detection of Lane Boundaries and Vehicle Tracking Using Image-Processing Techniques, Part I: Hough-Transform Region-Tracing and Correlation Algorithms,

And:
Part II: Template Matching Algorithms,
GM ResearchTR, November 1989. BibRef 8911
And: Both are in: SPIE(1195), November 1989. Report on GM effort in road detection, find likely boundaries, track through the frames. BibRef

Kenue, S.K., Bajpayee, S.,
LaneLok: Robust Line and Curve Fitting of Lane Boundaries,
SPIE(1831), 1990, pp. 491-503. Boston. BibRef 9000

Kenue, S.K.[Surender K.],
Vision method of detecting lane boundaries and obstacles,
US_Patent4,970,653, Nov 13, 1990
WWW Link. BibRef 9011
And:
LANELOK: An Algorithm for Extending the Lane Sensing Operating Range to 100 Feet,
SPIE(1388), November 1990. BibRef
And: GM ResearchLabs TR. BibRef

Ogawa, H.[Hiroshi], Miyazaki, Y.[Yasuyuki], Yoshida, S.[Susumu],
Unmanned vehicle control system and method,
US_Patent4,665,487, May 12, 1987
WWW Link. BibRef 8705

Ishikawa, S., Kuwamoto, H., and Ozawa, S.,
Visual Navigation of an Autonomous Vehicle Using White Line Recognition,
PAMI(10), No. 5, September 1988, pp. 743-749.
IEEE DOI Follow the white stripe. Simple processing, but with collision avoidance. all visual control. BibRef 8809

Ishikawa, S., Ozawa, S.,
A Method of Image Guided Vehicle Using White Line Recognition,
CVPR86(47-53). White stripe following. BibRef 8600

Mathur, B.P.[Bimal P.], Wang, H.T.[H. Taichi], Haendel, R.S.[Richard S.],
Vehicle lane position detection system,
US_Patent5,351,044, Sep 27, 1994
WWW Link. BibRef 9409

Li, W., Lu, G.T., Wang, Y.Q.,
Recognizing White Line Markings for Vision-Guided Vehicle Navigation by Fuzzy-Reasoning,
PRL(18), No. 8, August 1997, pp. 771-780. 9801
BibRef

Chen, K.H., Tsai, W.H.,
Vision-Based Autonomous Land Vehicle Guidance in Outdoor Road Environments Using Combined Line and Road Following Techniques,
JRS(14), No. 10, October 1997, pp. 711-728. 9710
BibRef

Chen, G.Y., Tsai, W.H.,
An Incremental-Learning-by-Navigation Approach to Vision-Based Autonomous Land Vehicle Guidance in Indoor Environments Using Vertical Line Information and Multiweighted Generalized Hough Transform Technique,
SMC-B(28), No. 5, October 1998, pp. 740-748.
IEEE Top Reference. 9810
BibRef

Guiducci, A.[Antonio],
Camera Calibration for Road Applications,
CVIU(79), No. 2, August 2000, pp. 250-266.
DOI Link 0008
BibRef

Guiducci, A.[Antonio],
Parametric Model of the Perspective Projection of a Road with Applications to Lane Keeping and 3D Road Reconstruction,
CVIU(73), No. 3, March 1999, pp. 414-427.
DOI Link BibRef 9903

Goldbeck, J., Huertgen, B., Ernst, S., Kelch, L.,
Lane following combining vision and DGPS,
IVC(18), No. 5, April 2000, pp. 425-433.
Elsevier DOI 0003
BibRef

Lai, A.H.S., Yung, N.H.C.,
Lane Detection by Orientation and Length Discrimination,
SMC-B(30), No. 4, August 2000, pp. 539-548.
IEEE Top Reference. 0008
BibRef

Wang, Y.[Yue], Shen, D.G.[Ding-Gang], Teoh, E.K.[Eam Khwang],
Lane detection using spline model,
PRL(21), No. 6-7, June 2000, pp. 677-689. 0006
BibRef

Wang, Y.[Yue], Teoh, E.K.[Eam Khwang], Shen, D.G.[Ding-Gang],
Lane detection and tracking using B-Snake,
IVC(22), No. 4, 1 April 2004, pp. 269-280.
Elsevier DOI 0402
BibRef

Wang, Y., Shen, D., Teoh, E.K., Wang, H.,
A Novel Lane Model for Lane Boundary Detection,
MVA98(xx-yy). BibRef 9800

Beauvais, M., Lakshmanan, S.,
CLARK: a heterogeneous sensor fusion method for finding lanes and obstacles,
IVC(18), No. 5, April 2000, pp. 397-413.
Elsevier DOI 0003
BibRef

Ma, B.[Bing], Lakshmanan, S.[Sridhar], Hero, III, A.O.[Alfred O.],
Simultaneous detection of lane and pavement boundaries using model-based multisensor fusion,
ITS(1), No. 3, September 2000, pp. 135-147.
IEEE Abstract. 0402
BibRef
Earlier:
Road and lane Edge detection with Multisensor Fusion Methods,
ICIP99(II:686-690).
IEEE DOI BibRef

Yasui, N.[Nobuhiko], Iisaka, A.[Atsushi], Kaneko, M.[Mamoru],
Local positioning apparatus, and a method therefor,
US_Patent6,091,833, Jul 18, 2000
WWW Link. Lane position. BibRef 0007

Olivieri, M.[Massimiliano], Fabbrizio, V.[Vito], Guerrieri, R.[Roberto], Kramer, A.[Alan],
Method for identifying marking stripes of road lanes,
US_Patent6,212,287, Apr 3, 2001
WWW Link. BibRef 0104

Park, J.W.[Jong Woung], Lee, J.W.[Joon Woong], Jhang, K.Y.[Kyung Young],
A Lane-Curve Detection Based on an LCF,
PRL(24), No. 14, October 2003, pp. 2301-2313.
Elsevier DOI 0307
BibRef

Kang, D.J.[Dong-Joong], Jung, M.H.[Mun-Ho],
Road lane segmentation using dynamic programming for active safety vehicles,
PRL(24), No. 16, December 2003, pp. 3177-3185.
Elsevier DOI 0310
BibRef

Yim, Y.U.[Young Uk], Oh, S.Y.[Se-Young],
Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving,
ITS(4), No. 4, December 2003, pp. 219-225.
IEEE Abstract. 0402
BibRef

Li, Q.[Qing], Zheng, N.N.[Nan-Ning], Cheng, H.[Hong],
Springrobot: A Prototype Autonomous Vehicle and its Algorithms for Lane Detection,
ITS(5), No. 4, December 2004, pp. 300-308.
IEEE Abstract. 0501
BibRef

Wang, J., Schroedl, S., Mezger, K., Ortloff, R., Joos, A., Passegger, T.,
Lane Keeping Based on Location Technology,
ITS(6), No. 3, September 2005, pp. 351-356.
IEEE DOI 0509
BibRef

Choi, S.Y.[Sung Yug], Lee, J.M.[Jang Myung],
Applications of moving windows technique to autonomous vehicle navigation,
IVC(24), No. 2, 1 February 2006, pp. 120-130.
Elsevier DOI 0604
Moving window; Lane detection; Obstacle detection; Mobile robot; Corridor driving BibRef

Cheng, H.Y., Jeng, B.S., Tseng, P.T., Fan, K.C.,
Lane Detection With Moving Vehicles in the Traffic Scenes,
ITS(7), No. 4, December 2006, pp. 571-582.
IEEE DOI 0701
BibRef

Zhang, Q., Couloigner, I.,
Accurate Centerline Detection and Line Width Estimation of Thick Lines Using the Radon Transform,
IP(16), No. 2, February 2007, pp. 310-316.
IEEE DOI 0702
BibRef

Dao, T.S., Leung, K.Y.K., Clark, C.M., Huissoon, J.P.,
Markov-Based Lane Positioning Using Intervehicle Communication,
ITS(8), No. 4, December 2007, pp. 641-650.
IEEE DOI 0712
BibRef

Wu, S.J., Chiang, H.H., Perng, J.W., Chen, C.J., Wu, B.F., Lee, T.T.,
The Heterogeneous Systems Integration Design and Implementation for Lane Keeping on a Vehicle,
ITS(9), No. 2, June 2008, pp. 246-263.
IEEE DOI 0806
BibRef

Chiang, H.H.[Hsin-Han], Wu, S.J.[Shinq-Jen], Perng, J.W.[Jau-Woei], Wu, B.F.[Bing-Fei], Lee, T.T.[Tsu-Tian],
The Human-in-the-Loop Design Approach to the Longitudinal Automation System for an Intelligent Vehicle,
SMC-A(40), No. 4, July 2010, pp. 708-720.
IEEE DOI 1007
BibRef

Kim, Z.[ZuWhan],
Robust Lane Detection and Tracking in Challenging Scenarios,
ITS(9), No. 1, March 2008, pp. 16-26.
IEEE DOI 0803
BibRef
Earlier:
Realtime Road Detection by Learning from One Example,
WACV05(I: 455-460).
IEEE DOI 0502
BibRef

Du, J., Barth, M.J.,
Next-Generation Automated Vehicle Location Systems: Positioning at the Lane Level,
ITS(9), No. 1, March 2008, pp. 48-57.
IEEE DOI 0803
BibRef

Hassouna, M.S.[M. Sabry], Abdel-Hakim, A.E.[Alaa E.], Farag, A.A.[Aly A.],
PDE-Based Robust Robotic Navigation,
IVC(27), No. 1-2, January 2009, pp. 10-18.
Elsevier DOI 0804
BibRef
Earlier: CRV05(176-183).
IEEE DOI 0505
BibRef
And:
Robust Robotic Path Planning Using Level Sets,
ICIP05(III: 473-476).
IEEE DOI 0512
See also Image content-based active sensor planning for a mobile trinocular active vision system. Robotic navigation; Level set methods; Fast marching methods; Path planning; Optimum path; Skeletonization BibRef

Farag, A.A.[Aly A.], Abdel-Hakim, A.E.[Alaa E.],
Virtual Forces for Camera Planning in Smart Vision Systems,
WACV05(I: 269-274).
IEEE DOI 0502
BibRef

Hassouna, M.S.[M. Sabry], Farag, A.A.[Aly A.],
Robust Centerline Extraction Framework Using Level Sets,
CVPR05(I: 458-465).
IEEE DOI 0507
BibRef

Toledo-Moreo, R., Zamora-Izquierdo, M.A.,
IMM-Based Lane-Change Prediction in Highways With Low-Cost GPS/INS,
ITS(10), No. 1, March 2009, pp. 180-185.
IEEE DOI 0903
BibRef

Danescu, R.G., Nedevschi, S.,
Probabilistic Lane Tracking in Difficult Road Scenarios Using Stereovision,
ITS(10), No. 2, June 2009, pp. 272-282.
IEEE DOI 0906
BibRef

Cheng, H.Y., Yu, C.C., Tseng, C.C., Fan, K.C., Hwang, J.N., Jeng, B.S.,
Environment classification and hierarchical lane detection for structured and unstructured roads,
IET-CV(4), No. 1, March 2010, pp. 37-49.
DOI Link 1001
BibRef

Jiang, R.[Ruyi], Klette, R.[Reinhard], Vaudrey, T.[Tobi], Wang, S.G.[Shi-Gang],
Lane detection and tracking using a new lane model and distance transform,
MVA(22), No. 4, July 2011, pp. 721-737.
WWW Link. 1107
BibRef
Earlier:
New Lane Model and Distance Transform for Lane Detection and Tracking,
CAIP09(1044-1052).
Springer DOI 0909
BibRef

Amditis, A., Bimpas, M., Thomaidis, G., Tsogas, M., Netto, M., Mammar, S., Beutner, A., Mohler, N., Wirthgen, T., Zipser, S., Etemad, A., Da Lio, M., Cicilloni, R.,
A Situation-Adaptive Lane-Keeping Support System: Overview of the SAFELANE Approach,
ITS(11), No. 3, September 2010, pp. 617-629.
IEEE DOI 1003
BibRef

Nieto, M.[Marcos], Arróspide Laborda, J.[Jon], Salgado, L.[Luis],
Road environment modeling using robust perspective analysis and recursive Bayesian segmentation,
MVA(22), No. 6, November 2011, pp. 927-945.
WWW Link. 1110
BibRef

Nieto, M.[Marcos], Salgado, L.[Luis], Jaureguizar, F.[Fernando], Arróspide Laborda, J.[Jon],
Robust multiple lane road modeling based on perspective analysis,
ICIP08(2396-2399).
IEEE DOI 0810
BibRef

Kheyrollahi, A.[Alireza], Breckon, T.P.[Toby P.],
Automatic real-time road marking recognition using a feature driven approach,
MVA(23), No. 1, January 2012, pp. 123-133.
WWW Link. 1201
BibRef

Kim, J.Y.[Ju-Young], Jang, J.S.[Ja-Soon],
A simple model for a lane detection system,
SPIE(Newsroom), February 15, 2012.
DOI Link 1202
An efficient algorithm for detecting lane markers uses the log-polar transform and random sample consensus to achieve robust performance under various road conditions. BibRef

Kim, J.Y., Lim, H.R., Lee, C.S., Jang, J.S.,
An efficient lane markers detection algorithm using log-polar transform and RANSAC,
SPIE(8135), 2011, pp. 81351J.
DOI Link BibRef 1100

Gikas, V., Stratakos, J.,
A Novel Geodetic Engineering Method for Accurate and Automated Road/Railway Centerline Geometry Extraction Based on the Bearing Diagram and Fractal Behavior,
ITS(13), No. 1, March 2012, pp. 115-126.
IEEE DOI 1203
BibRef

Borkar, A., Hayes, M., Smith, M.T.,
A Novel Lane Detection System With Efficient Ground Truth Generation,
ITS(13), No. 1, March 2012, pp. 365-374.
IEEE DOI 1203
BibRef

Cameron, M.[Mark], Al-Bahadly, I.[Ibrahim], Zakaria, Z.[Zulkarnay], Ayob, N.M.N.[Nor Muzakkir Nor],
A Line Detection Algorithm for Road Remarking,
Sensors(140), No. 5, May 2012, pp. 65-73.
HTML Version. BibRef 1205

Wu, C.F., Lin, C.J., Lee, C.Y.,
Applying a Functional Neurofuzzy Network to Real-Time Lane Detection and Front-Vehicle Distance Measurement,
SMC-C(42), No. 4, July 2012, pp. 577-589.
IEEE DOI 1206
BibRef

Fang, Y.F.[Yun-Fei], Chu, F.[Feng], Mammar, S., Zhou, M.[MengChu],
Optimal Lane Reservation in Transportation Network,
ITS(13), No. 2, June 2012, pp. 482-491.
IEEE DOI 1206
Not land detection. BibRef

Vu, A.[Anh], Ramanandan, A., Chen, A.[Anning], Farrell, J.A., Barth, M.,
Real-Time Computer Vision/DGPS-Aided Inertial Navigation System for Lane-Level Vehicle Navigation,
ITS(13), No. 2, June 2012, pp. 899-913.
IEEE DOI 1206
BibRef

Demcenko, A., Tamosiunaite, M., Vidugiriene, A., Jakevicius, L.,
Estimation of Lane Marker Parameters With High Correlation to Steering Signal,
ITS(13), No. 2, June 2012, pp. 962-967.
IEEE DOI 1206
BibRef

Gopalan, R., Hong, T., Shneier, M., Chellappa, R.,
A Learning Approach Towards Detection and Tracking of Lane Markings,
ITS(13), No. 3, September 2012, pp. 1088-1098.
IEEE DOI 1209
BibRef

Alam, N., Balaei, A.T., Dempster, A.G.,
An Instantaneous Lane-Level Positioning Using DSRC Carrier Frequency Offset,
ITS(13), No. 4, December 2012, pp. 1566-1575.
IEEE DOI 1212
BibRef

Liu, G., Worgotter, F., Markelic, I.,
Stochastic Lane Shape Estimation Using Local Image Descriptors,
ITS(14), No. 1, March 2013, pp. 13-21.
IEEE DOI 1303
BibRef

Sivaraman, S., Trivedi, M.M.,
Integrated Lane and Vehicle Detection, Localization, and Tracking: A Synergistic Approach,
ITS(14), No. 2, 2013, pp. 906-917.
IEEE DOI 1307
Image edge detection; Kalman filters; driver assistance; lane departure See also Vehicle Detection by Independent Parts for Urban Driver Assistance. BibRef

Sivaraman, S.[Sayanan], Trivedi, M.M.[Mohan M.],
Dynamic Probabilistic Drivability Maps for Lane Change and Merge Driver Assistance,
ITS(15), No. 5, October 2014, pp. 2063-2073.
IEEE DOI 1410
data structures BibRef

Satzoda, R.K., Trivedi, M.M.,
Drive Analysis Using Vehicle Dynamics and Vision-Based Lane Semantics,
ITS(16), No. 1, February 2015, pp. 9-18.
IEEE DOI 1502
Computer crashes BibRef

Satzoda, R.K.[Ravi Kumar], Trivedi, M.M.[Mohan M.],
On Enhancing Lane Estimation Using Contextual Cues,
CirSysVideo(25), No. 11, November 2015, pp. 1870-1881.
IEEE DOI 1511
BibRef
Earlier:
On Performance Evaluation Metrics for Lane Estimation,
ICPR14(2625-2630)
IEEE DOI 1412
BibRef
And:
Efficient Lane and Vehicle Detection with Integrated Synergies (ELVIS),
ECVW14(708-713)
IEEE DOI 1409
BibRef
Earlier:
Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization,
ECVW13(604-609)
IEEE DOI 1309
Accuracy. embedded system; intelligent driver assistance systems; lane detection. computational efficiency BibRef

Sivaraman, S.[Sayanan], Morris, B.T.[Brendan T.], Trivedi, M.M.[Mohan M.],
Learning multi-lane trajectories using vehicle-based vision,
CVVT11(2070-2076).
IEEE DOI 1201
The other cars. BibRef

McCall, J.C., Trivedi, M.M.,
An integrated, robust approach to lane marking detection and lane tracking,
IVS04(533-537).
WWW Link. 0411
BibRef

Li, X.Y.[Xiang-Yang], Fang, X.Z.[Xiang-Zhong],
Parallel-Snake with Balloon Force for Lane Detection,
IEICE(E97-D), No. 2, February 2013, pp. 349-352.
WWW Link. 1402
BibRef

Wu, P.C.[Pei-Chen], Chang, C.Y.[Chin-Yu], Lin, C.H.[Chang Hong],
Lane-mark extraction for automobiles under complex conditions,
PR(47), No. 8, 2014, pp. 2756-2767.
Elsevier DOI 1405
Line fitting BibRef

Shin, B.S.[Bok-Suk], Xu, Z.Z.[Ze-Zhong], Klette, R.[Reinhard],
Visual lane analysis and higher-order tasks: a concise review,
MVA(25), No. 6, 2014, pp. 1519-1547.
WWW Link. 1408
BibRef

Shin, B.S.[Bok-Suk], Tao, J.L.[Jun-Li], Klette, R.[Reinhard],
A superparticle filter for lane detection,
PR(48), No. 11, 2015, pp. 3333-3345.
Elsevier DOI 1506
BibRef
Earlier: A2, A1, A3:
Wrong Roadway Detection for Multi-lane Roads,
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

de Paula, M.B., Jung, C.R.,
Automatic Detection and Classification of Road Lane Markings Using Onboard Vehicular Cameras,
ITS(16), No. 6, December 2015, pp. 3160-3169.
IEEE DOI 1512
Bayes methods BibRef

Jung, S., Youn, J., Sull, S.,
Efficient Lane Detection Based on Spatiotemporal Images,
ITS(17), No. 1, January 2016, pp. 289-295.
IEEE DOI 1601
Image edge detection BibRef

Nieto, M.[Marcos], Cortés, A.[Andoni], Otaegui, O.[Oihana], Arróspide, J.[Jon], Salgado, L.[Luis],
Real-time lane tracking using Rao-Blackwellized particle filter,
RealTimeIP(11), No. 1, January 2016, pp. 179-191.
Springer DOI 1601
BibRef

Du, X.X.[Xin-Xin], Tan, K.K.[Kok Kiong],
Vision-based approach towards lane line detection and vehicle localization,
MVA(27), No. 2, February 2016, pp. 175-191.
WWW Link. 1602
BibRef

Cui, D., Xue, J., Zheng, N.,
Real-Time Global Localization of Robotic Cars in Lane Level via Lane Marking Detection and Shape Registration,
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 Lane-Level Localization,
IP(25), No. 5, May 2016, pp. 2075-2088.
IEEE DOI 1604
image motion analysis BibRef

Niu, J.W.[Jian-Wei], Lu, J.[Jie], Xu, M.L.[Ming-Liang], Lv, P.[Pei], Zhao, X.[Xiaoke],
Robust Lane Detection using Two-stage Feature Extraction with Curve Fitting,
PR(59), No. 1, 2016, pp. 225-233.
Elsevier DOI 1609
Lane detection BibRef

Ozgunalp, U., Fan, R., Ai, X., Dahnoun, N.,
Multiple Lane Detection Algorithm Based on Novel Dense Vanishing Point Estimation,
ITS(18), No. 3, March 2017, pp. 621-632.
IEEE DOI 1703
Cameras BibRef

Das, A., Srinivasa Murthy, S., Suddamalla, U.,
Enhanced Algorithm of Automated Ground Truth Generation and Validation for Lane Detection System by M^2 BMT,
ITS(18), No. 4, April 2017, pp. 996-1005.
IEEE DOI 1704
modified min-between-max thresholding BibRef

Cheng, G., Wang, Y., Xu, S., Wang, H., Xiang, S., Pan, C.,
Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network,
GeoRS(55), No. 6, June 2017, pp. 3322-3337.
IEEE DOI 1706
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 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

John, V.[Vijay], Liu, Z.[Zheng], Guo, C.[Chunzhao], Mita, S.[Seiichi], Kidono, K.[Kiyosumi],
Real-Time Lane Estimation Using Deep Features and Extra Trees Regression,
PSIVT15(721-733).
Springer DOI 1602
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],
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Cameras BibRef

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Jiang, Y.[Yan], Gao, F.[Feng], Xu, G.[Guoyan],
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Borkar, A.[Amol], Hayes, M.[Monson], Smith, M.T.[Mark T.],
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ACIVS10(II: 179-190).
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Earlier:
Robust lane detection and tracking with ransac and Kalman filter,
ICIP09(3261-3264).
IEEE DOI 0911
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Lane Detection and Tracking Using a Layered Approach,
ACIVS09(474-484).
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CISP09(1-5).
IEEE DOI 0910
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Gao, T.[Tianshi], Aghajan, H.[Hamid],
Self lane assignment using egocentric smart mobile camera for intelligent GPS navigation,
Egocentric09(57-62).
IEEE DOI 0906
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Su, C.Y.[Chung-Yen], Fan, G.H.[Gen-Hau],
An Effective and Fast Lane Detection Algorithm,
ISVC08(II: 942-948).
Springer DOI 0812
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Kang, Y.[Yousun], Yamaguchi, K.[Koichiro], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
Road Image Segmentation and Recognition Using Hierarchical Bag-of-Textons Method,
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Yamaguchi, K.[Koichiro], Watanabe, A.[Akihiro], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
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Asai, T.[Toshihiro], Yamaguchi, K.[Koichiro], Kojima, Y.[Yoshiko], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
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Lipski, C.[Christian], Scholz, B.[Bjorn], Berger, K.[Kai], Linz, C.[Christian], Stich, T.[Timo], Magnor, M.[Marcus],
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Southwest08(57-60).
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Labayrade, R.,
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Nourine, R., Boudihir, M.E.[M. Elarbi], Khelifi, S.F.,
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ICIAR04(II: 563-571).
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Cramer, H., Scheunert, U., Wanielik, G.,
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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
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Toth, C.K.[Charles K.], Grejner-Brzezinska, D.A.[Dorota A.],
Near Real-Time Road Centerline Extraction,
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Muck, K., Nagel, H.H., Middendorf, M.,
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Behringer, R., Hötzl, S.,
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Kreucher, C., Lakshmanan, S.,
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ICIP99(II:31-35).
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Yu, B., and Jain, A.K.,
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ICIP97(II: 748-751).
IEEE DOI BibRef 9700

Diebolt, F.[Frank],
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ICIP96(II: 669-672).
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Inglebert, C.,
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Indoor Navigation Issues, Lines, Walls, Doors, Flat Surfaces .