Filters








23,232 Hits in 12.4 sec

Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision

Yang Xing, Chen Lv, Long Chen, Huaji Wang, Hong Wang, Dongpu Cao, Efstathios Velenis, Fei-Yue Wang
2018 IEEE/CAA Journal of Automatica Sinica  
Sensor level uses multi-modal sensors to build a robust lane recognition system.  ...  Algorithm level combines different lane detection algorithms while system level integrates other object detection systems to comprehensively detect lane positions.  ...  A combination of IPM and clustered particle filters method based on lane features was used to estimate multiple lanes in [12] .  ... 
doi:10.1109/jas.2018.7511063 fatcat:tjewl25slfb2ngxlrlalktksvy

Real-Time Lane Detection on Suburban Streets Using Visual Cue Integration

Shehan Fernando, Lanka Udawatta, Ben Horan, Pubudu Pathirana
2014 International Journal of Advanced Robotic Systems  
The detection of lane boundaries on suburban streets using images obtained from video constitutes a challenging task.  ...  To separate lane boundary lines from other similar features, a road mask is generated using road chromaticity values estimated from CIE L*a*b* colour transformation.  ...  Acknowledgments Waduge Shehan Priyanga Fernando is a lecturer in the Department of Mechanical Engineering, Faculty of Engineering, General Sir John Kotelawala Defence University in Sri Lanka, where he  ... 
doi:10.5772/58248 fatcat:ykeygw7zkjf73aqa2tfslvzham

Real-time vehicle detection for highway driving

B. Southall, M. Bansal, J. Eledath
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
The algorithm performs a search for pertinent features in three dimensions, guided by a ground plane and lane boundary estimation sub-system, and assembles these features into vehicle hypotheses.  ...  A number of classifiers are applied to the hypotheses in order to remove false detections.  ...  [10] use the same technique, but with a different low-level feature extraction procedure.  ... 
doi:10.1109/cvprw.2009.5206597 fatcat:263f4yz7lrczpbvbodfrco7oli

Real-time vehicle detection for highway driving

Ben Southall, Mayank Bansal, Jayan Eledath
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
The algorithm performs a search for pertinent features in three dimensions, guided by a ground plane and lane boundary estimation sub-system, and assembles these features into vehicle hypotheses.  ...  A number of classifiers are applied to the hypotheses in order to remove false detections.  ...  [10] use the same technique, but with a different low-level feature extraction procedure.  ... 
doi:10.1109/cvpr.2009.5206597 dblp:conf/cvpr/SouthallBE09 fatcat:2xvjnz7q65apdoujxvc4r7p2ye

Ortho-image analysis for producing lane-level highway maps

Young-Woo Seo, Chris Urmson, David Wettergreen
2012 Proceedings of the 20th International Conference on Advances in Geographic Information Systems - SIGSPATIAL '12  
Finally, some of the refined image cues about the underlying road network are used to guide a linking process of road-lane hypotheses.  ...  Experimental results show promise in producing lanelevel detailed highway maps from ortho-image analysis -89% of the true road-lane boundary pixels were successfully detected and 337 out of 417 true road-lanes  ...  We detail the methods of harvesting low-level features, the methods of converting these low-level features into meaningful mid-level features, and the methods of generating road-lane hypotheses and of  ... 
doi:10.1145/2424321.2424401 dblp:conf/gis/SeoUW12a fatcat:nuvqox4ynrebxiva3iyqlxs5du

Efficient Lane Detection Technique Based on Lightweight Attention Deep Neural Network

Zhiting Yao, Xiyuan Chen, Carlos Guindel
2022 Journal of Advanced Transportation  
This study provides a practical and meaningful reference for the application of lane detection in memory constrained devices.  ...  For self-driving vehicles, detecting lane lines in changeable scenarios is a fundamental yet challenging task.  ...  CX(21)2025), National Natural Science Foundation of China (no. 61873064), and Suzhou Science and Technology Plan Project (no. SNG2020039).  ... 
doi:10.1155/2022/5134437 fatcat:6uwr75kqb5gnngo7txxqm4gimq

Real-time Lane Marker Detection Using Template Matching with RGB-D Camera [article]

Cong Hoang Quach, Van Lien Tran, Duy Hung Nguyen, Viet Thang Nguyen, Minh Trien Pham, Manh Duong Phung
2018 arXiv   pre-print
They are then used as the inputs of template matching and geometric feature extraction processes to form a response map so that its values represent the probability of pixels being lane markers.  ...  In the approach, colour and depth images are first converted to a half-binary format and a 2D matrix of 3D points.  ...  ACKNOWLEDGMENT This work is supported by the grant QG. 16 .29 of Vietnam National University, Hanoi.  ... 
arXiv:1806.01621v1 fatcat:vdexri4m25efbnvm2nqrdpmxqi

Lane Detection Algorithm for Night-time Digital Image Based on Distribution Feature of Boundary Pixels

Feng You, Ronghui Zhang, Lingshu Zhong, Haiwei Wang, Jianmin Xu
2013 Journal of the Optical Society of Korea  
Secondly, combining intensity map and gradient map, we analyze the distribution features of pixels on boundaries of lanes in the nighttime and construct 4 feature sets for these points, which are helpful  ...  First of all, the proposed algorithm uses neighborhood average filtering, 8-directional Sobel operator and thresholding segmentation based on OTSU's to handle raw lane images taken from a digital CCD camera  ...  Central University of China (Granted No.: x2tjD2115990).  ... 
doi:10.3807/josk.2013.17.2.188 fatcat:o5hpevfj7nevlarb5fikexktbi

An Empirical Evaluation of Deep Learning on Highway Driving [article]

Brody Huval, Tao Wang, Sameep Tandon, Jeff Kiske, Will Song, Joel Pazhayampallil, Mykhaylo Andriluka, Pranav Rajpurkar, Toki Migimatsu, Royce Cheng-Yue, Fernando Mujica, Adam Coates (+1 others)
2015 arXiv   pre-print
We show how existing convolutional neural networks (CNNs) can be used to perform lane and vehicle detection while running at frame rates required for a real-time system.  ...  We collect a large data set of highway data and apply deep learning and computer vision algorithms to problems such as car and lane detection.  ...  In addition, the authors would like to thank the author of Overfeat, Pierre Sermanet, for their helpful suggestions on image detection.  ... 
arXiv:1504.01716v3 fatcat:hcxgimqmb5a4jf236guqcmnzrq

A Review On Lane Detection And Tracking Techniques

Pravin T. Mandlik, Prof A.B.Deshmukh
2016 Zenodo  
The Lane detection systems are useful to avoid the accidents and safety is the main purpose of the system.  ...  The main goal of these systems is to detect the lane stripes and to warn the driver in case of the vehicle tend to depart from the lane.  ...  A. B. Deshmukh for his support, co-operation and valuable suggestions.  ... 
doi:10.5281/zenodo.1466247 fatcat:fnrya3lzxnaohdutft6yklqwqu

Finding multiple lanes in urban road networks with vision and lidar

Albert S. Huang, David Moore, Matthew Antone, Edwin Olson, Seth Teller
2009 Autonomous Robots  
This paper describes a system for detecting and estimating the properties of multiple travel lanes in an urban road network from calibrated video imagery and laser range data acquired by a moving vehicle  ...  The system operates in real-time in several stages on multiple processors, fusing detected road markings, obstacles, and curbs into a stable non-parametric estimate of nearby travel lanes.  ...  We additionally thank the MIT DARPA Urban Challenge Team for their efforts in building a fully-operational vehicle.  ... 
doi:10.1007/s10514-009-9113-3 fatcat:tbbkgk7cjvhnfiscxymb5dqqza

Lane Detection Model Based on Spatio-Temporal Network with Double ConvGRUs [article]

Jiyong Zhang, Tao Deng, Fei Yan, Wenbo Liu
2020 arXiv   pre-print
Both of ConvGRUs have the same structures, but different locations and functions in our network. One is used to extract the information of the most likely low-level features of lane markings.  ...  Many lane detection models have been proposed, solving lane detection under challenging conditions, including intersection merging and splitting, curves, boundaries, occlusions and combinations of scene  ...  (d) Lane detection results of the U-Net ConvLSTM [3]. Fig. 4 . 4 Low-level features of lanes. (a) Results of conv2 2. (b) Results of the FCGRU.  ... 
arXiv:2008.03922v1 fatcat:smgscqovbnggfftmhs357hmbkm

Robust Lane Detection and Tracking in Challenging Scenarios

ZuWhan Kim
2008 IEEE transactions on intelligent transportation systems (Print)  
A lane-detection system is an important component of many intelligent transportation systems.  ...  Abstract-A lane-detection system is an important component of many intelligent transportation systems.  ...  Note that the right-lane boundaries of the low-illumination images are not lane markings but curbs.  ... 
doi:10.1109/tits.2007.908582 fatcat:dt3lnj6br5dzdhjjjnldutlzsy

Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection [chapter]

Jie Zhang, Yi Xu, Bingbing Ni, Zhenyu Duan
2018 Lecture Notes in Computer Science  
In this paper, we establish a multiple-task learning framework to segment lane areas and detect lane boundaries simultaneously.  ...  Most of these methods abandon a great quantity of complementary information, such as geometric priors, when exploiting the lane area and the lane boundaries alternatively.  ...  Input images are fed into a shared encoder, which extracts the critical features for lane segmentation and lane boundary detection.  ... 
doi:10.1007/978-3-030-01246-5_30 fatcat:dcnbjgj3zngbtl5ftwqcgmkloe

Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene

Jun Li, Xue Mei, Danil Prokhorov, Dacheng Tao
2017 IEEE Transactions on Neural Networks and Learning Systems  
However, most existing networks combine the low/middle level cues for classification without accounting for any spatial structures.  ...  Both networks are demonstrated by the practical task of detecting lane boundaries in traffic scenes.  ...  The low-level detection can be integrated within any higher level models of traffic lanes, such as those in [6] , [7] , [8] .  ... 
doi:10.1109/tnnls.2016.2522428 pmid:26890928 fatcat:j7ek2hv4jndx3ms3735j2chleq
« Previous Showing results 1 — 15 out of 23,232 results