A machine vision system for lane-departure detection
Computer Vision and Image Understanding
Robust real-time lane and road detection in critical shadow conditions
ISCV '95 Proceedings of the International Symposium on Computer Vision
Intelligent Road Detection Based on Local Averaging Classifier in Real-Time Environments
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
A Robust Linear-Parabolic Model for Lane Following
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Adaptive Road Detection through Continuous Environment Learning
AIPR '04 Proceedings of the 33rd Applied Imagery Pattern Recognition Workshop
An Improved Linear-Parabolic Model for Lane Following and Curve Detection
SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
Symbolic Road Perception-based Autonomous Driving in Urban Environments
AIPR '06 Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop
A Synchronous Detection of the Road Boundary and Lane Marking for Intelligent Vehicles
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 01
A Fast Edge Detection Algorithm for Road Boundary Extraction under Non-uniform Light Condition
ICIT '07 Proceedings of the 10th International Conference on Information Technology
Robust Lane Detection for Video-Based Navigation Systems
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Road Boundary Detection Based on the Dynamic Programming and the Randomized Hough Transform
ISITC '07 Proceedings of the 2007 International Symposium on Information Technology Convergence
CITWORKSHOPS '08 Proceedings of the 2008 IEEE 8th International Conference on Computer and Information Technology Workshops
An Integrated Approach to Recognition of Lane Marking and Road Boundary
WKDD '08 Proceedings of the First International Workshop on Knowledge Discovery and Data Mining
Research on Road Recognition Algorithm Based on Structure Environment for ITS
CCCM '08 Proceedings of the 2008 ISECS International Colloquium on Computing, Communication, Control, and Management - Volume 01
DICTA '08 Proceedings of the 2008 Digital Image Computing: Techniques and Applications
A Feature Selection Algorithm Based on Boosting for Road Detection
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 02
Vision-Based Road Detection by Adaptive Region Segmentation and Edge Constraint
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 01
A Vision Based Lane Detection and Tracking Algorithm in Automatic Drive
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 01
A Lane Departure Warning System Based on Machine Vision
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 01
An Efficient Extraction of On-Road Object and Lane Information Using Representation Method
SITIS '08 Proceedings of the 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
A Fast and Robust Approach to Lane Marking Detection and Lane Tracking
SSIAI '08 Proceedings of the 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
Lane Mark Detection with Active Contour for Gradient Domain
CASE '09 Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)
A Robust Approach of Lane Detection Based on Machine Vision
CASE '09 Proceedings of the 2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)
Probabilistic lane tracking in difficult road scenarios using stereovision
IEEE Transactions on Intelligent Transportation Systems
Exploiting inherent parallelisms for accelerating linear Hough transform
IEEE Transactions on Image Processing
A novel lane feature extraction algorithm implemented on the TMS320DM6437 DSP platform
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
An algorithm for distinguishing the types of objects on the road using laser radar and vision
IEEE Transactions on Intelligent Transportation Systems
Three-feature based automatic lane detection algorithm (TFALDA) for autonomous driving
IEEE Transactions on Intelligent Transportation Systems
Color-based road detection in urban traffic scenes
IEEE Transactions on Intelligent Transportation Systems
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
Lane Detection With Moving Vehicles in the Traffic Scenes
IEEE Transactions on Intelligent Transportation Systems
Robust Lane Detection and Tracking in Challenging Scenarios
IEEE Transactions on Intelligent Transportation Systems
Robust Road Modeling and Tracking Using Condensation
IEEE Transactions on Intelligent Transportation Systems
Lane detection by orientation and length discrimination
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
IEEE Transactions on Image Processing
Parallel and local feature extraction: a real-time approach to road boundary detection
IEEE Transactions on Image Processing
Efficient and robust classification method using combined feature vector for lane detection
IEEE Transactions on Circuits and Systems for Video Technology
Automatic change detection of driving environments in a vision-based driver assistance system
IEEE Transactions on Neural Networks
A model-driven approach for real-time road recognition
Machine Vision and Applications
Hi-index | 0.00 |
The development of wireless sensor networks, such as researchers Advanced Driver Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human does. Road scene analysis is an essential, complex, and challenging task and it consists of: road detection (which includes the localization of the road, the determination of the relative position between vehicle and road, and the analysis of the vehicle's heading direction) and obstacle detection (which is mainly based on localizing possible obstacles on the vehicle's path). The detection of the road borders, the estimation of the road geometry, and the localization of the vehicle are essential tasks in this context since they are required for the lateral and longitudinal control of the vehicle. Within this field, on-board vision has been widely used since it has many advantages (higher resolution, low power consumption, low cost, easy aesthetic integration, and nonintrusive nature) over other active sensors such as RADAR or LIDAR. At first glance the problem of detecting the road geometry from visual information seems simple and early works in this field were quickly rewarded with promising results. However, the large variety of scenarios and the high rates of success demanded by the industry have kept the lane detection research work alive. In this article a comprehensive review of vision-based road detection systems vision is presented.