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Image edge detection; Kalman filters; driver assistance;
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See also Vehicle Detection by Independent Parts for Urban Driver Assistance.
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1409
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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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Sivaraman, S.[Sayanan],
Morris, B.T.[Brendan T.],
Trivedi, M.M.[Mohan M.],
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0411
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1405
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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
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Jung, C.R.,
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ITS(16), No. 6, December 2015, pp. 3160-3169.
IEEE DOI
1512
Bayes methods
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Jung, S.,
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ITS(17), No. 1, January 2016, pp. 289-295.
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1601
Image edge detection
BibRef
Nieto, M.[Marcos],
Cortés, A.[Andoni],
Otaegui, O.[Oihana],
Arróspide, J.[Jon],
Salgado, L.[Luis],
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1601
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Du, X.X.[Xin-Xin],
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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
image motion analysis
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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
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Elsevier DOI
1609
Lane detection
BibRef
Das, A.,
Srinivasa Murthy, S.,
Suddamalla, U.,
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1704
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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Robust hypothesis generation method using binary blob analysis for
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IET-IPR(11), No. 12, Decmeber 2017, pp. 1210-1218.
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1712
BibRef
Yoo, J.H.,
Lee, S.W.,
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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],
Chen, H.J.[Hou Jin],
Lane detection method based on lane structural analysis and CNNs,
IET-ITS(12), No. 6, August 2018, pp. 513-520.
DOI Link
1807
BibRef
John, V.[Vijay],
Liu, Z.[Zheng],
Mita, S.[Seiichi],
Guo, C.Z.[Chun-Zhao],
Kidono, K.[Kiyosumi],
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SIViP(12), No. 6, September 2018, pp. 1133-1140.
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
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PsiNet and Extra Trees Regression,
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IEEE DOI
1812
Roads, Feature extraction, Estimation, Regression tree analysis,
Semantics, Image segmentation
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Probabilistic lane estimation, Likelihood computation,
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1812
Image color analysis, Image segmentation, Image edge detection,
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Road safety evaluation through automatic extraction of road
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1812
Road safety, Decision tree, Geometric design consistency,
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Elsevier DOI
1901
Point cloud, Road marking, Extraction, Classification,
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1906
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Energy-Efficient Hardware Implementation of Road-Lane Detection Based
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A Hardware Architecture for Cell-Based Feature-Extraction and
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CirSysVideo(28), No. 10, October 2018, pp. 3086-3098.
IEEE DOI
1811
Feature extraction, Computer architecture, Histograms, Training,
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2001
Proposals, Task analysis, Detectors, Feature extraction,
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Lane detection, Image quality, Convolution neural network
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2005
BibRef
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Lane detection using lane boundary marker network with road geometry
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WACV20(1823-1832)
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2006
Roads, Image segmentation, Feature extraction, Machine learning,
Prediction algorithms, Parallel processing, Detectors
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Hu, C.,
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Lane Keeping Control of Autonomous Vehicles With Prescribed
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IEEE DOI
2007
Rollover, Stability analysis, Transient analysis, Tires, Safety,
Adaptation models, Autonomous vehicles, lane keeping,
rollover prevention
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Lu, C.,
Hu, F.,
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ITS(21), No. 8, August 2020, pp. 3281-3293.
IEEE DOI
2008
Adaptation models, Vehicles, Data models, Manifolds,
Principal component analysis, Dimensionality reduction, Wheels,
local Procrustes analysis
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Zhang, J.W.[Jian-Wei],
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Robust multi-lane detection method based on semantic discrimination,
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Ma, Y.[Yang],
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Elsevier DOI
2008
Cycling lane, Centerline, Mobile LiDAR, Roadside barrier,
Object identification, Methodology
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Ye, X.Y.[Xing-Yu],
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A two-stage real-time YOLOv2-based road marking detector with
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2010
Deep learning, Road marking, Spatial transform,
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Qian, Y.,
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IEEE DOI
2011
Task analysis, Decoding, Object detection, Semantics,
Intelligent vehicles, Roads, Neural networks, Multi-task network,
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Lin, Y.C.,
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Habib, A.,
Lane Width Estimation in Work Zones Using LiDAR-Based Mobile Mapping
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IEEE DOI
2012
Roads, Laser radar, Feature extraction,
Data mining, Surface morphology, Accidents, Lane width estimation,
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Wei, Y.,
Zhang, K.,
Ji, S.,
Simultaneous Road Surface and Centerline Extraction From Large-Scale
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IEEE DOI
2012
Roads, Image segmentation, Remote sensing, Boosting,
Feature extraction, Surface topography, Semantics,
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Tang, J.[Jigang],
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A review of lane detection methods based on deep learning,
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Elsevier DOI
2012
Lane detection, Deep learning, Semantic segmentation, Instance segmentation
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Wang, B.K.[Bing-Ke],
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Zhang, Y.X.[Yi-Xin],
Polynomial Regression Network for Variable-number Lane Detection,
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Springer DOI
2012
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Saqib, A.,
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Tariq, A.,
Ashraf, N.,
Domain Adaptation For Lane Marking: An Unsupervised Approach,
ICIP20(2381-2385)
IEEE DOI
2011
Decoding, Adaptation models, Image segmentation, Roads,
Machine learning, Training, Mathematical model, Domain Adaptation,
Convolutional Neural Network (CNN)
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Guo, Y.L.[Yu-Liang],
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GEN-Lanenet: A Generalized and Scalable Approach for 3d Lane Detection,
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Springer DOI
2011
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2008
Roads, Task analysis, Computational modeling, Image segmentation,
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Myeong, H.,
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AutoDrive20(4335-4343)
IEEE DOI
2008
Task analysis, Image segmentation, Computer architecture,
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Philion, J.[Jonah],
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a
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IEEE DOI
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Koznek, N.[Nora],
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Adam, G.[Ganesh],
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Reliable Multilane Detection and Classification by Utilizing CNN as a
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ApolloScape18(V:740-752).
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1905
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Nugteren, C.[Cedric],
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1905
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1901
Mobile laser scanning, Point cloud, Lane marking extraction
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A Dataset for Lane Instance Segmentation in Urban Environments,
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Ni, B.B.[Bing-Bing],
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ECCV18(I: 502-518).
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1810
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Lee, S.,
Kim, J.,
Yoon, J.S.,
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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
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ICCV17(1965-1973)
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1802
computer vision, feature extraction, image colour analysis,
image recognition, object detection, rain, road vehicles, roads,
Roads
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Bailo, O.,
Lee, S.,
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Robust Road Marking Detection and Recognition Using Density-Based
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WACV17(760-768)
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Cameras, Feature extraction, Image edge detection, Lighting,
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Driving Assistance Roadway Features
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Kim, H.S.[Hee-Soo],
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Takahashi, G.,
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1512
ADAS; Embedded Processing; Lane Detection
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ICIP15(2557-2561)
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1512
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Teng, S.Y.[Shan-Yun],
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Huang, C.R.[Chun-Rong],
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MVA15(345-348)
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1507
Global Positioning System
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And:
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0800
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1109
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An, X.J.[Xiang-Jing],
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Lane Detection Based on Visual Attention,
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IEEE DOI
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Shang, E.[Erke],
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An, X.J.[Xiang-Jing],
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Lane Detection Using Steerable Filters and FPGA-based Implementation,
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1109
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Ben Romdhane, N.[Nadra],
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See also Comparative Study of Vision-Based Traffic Signs Recognition Methods, A.
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Ammar, M.[Moez],
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See also A-contrario Approach for Obstacle Detection in Assistance Driving Systems, An.
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Noda, M.[Masafumi],
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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
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Shi, X.J.[Xue-Jie],
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Self lane assignment using egocentric smart mobile camera for
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Su, C.Y.[Chung-Yen],
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Kang, Y.[Yousun],
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Road Image Segmentation and Recognition Using Hierarchical
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See also Feature Interaction Descriptor for Pedestrian Detection.
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Yamaguchi, K.[Koichiro],
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Lipski, C.[Christian],
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0803
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López, A.M.[Antonio M.],
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Labayrade, R.,
How Autonomous Mapping Can Help a Road Lane Detection System ?,
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Samadzadegan, F.,
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Dupuis, J.,
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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Curb Detection, Street Boundaries .