Turn-Intent Analysis Using Body Pose for Intelligent Driver Assistance
IEEE Pervasive Computing
Lane tracking with omnidirectional cameras: algorithms and evaluation
EURASIP Journal on Embedded Systems
System-platforms-based SystemC TLM design of image processing chains for embedded applications
EURASIP Journal on Embedded Systems
An extended hyperbola model for road tracking for video-based personal navigation
Knowledge-Based Systems
Realize a mobile lane detection system based on pocket PC portable devices
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Robust Lane Lines Detection and Quantitative Assessment
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Driver Assistance System Based on Monocular Vision
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
An Effective and Fast Lane Detection Algorithm
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Finding multiple lanes in urban road networks with vision and lidar
Autonomous Robots
Road Lane Detection with Elimination of High-Curvature Edges
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
In-car positioning and navigation technologies: a survey
IEEE Transactions on Intelligent Transportation Systems
Preventing automotive pileup crashes in mixed-communication environments
IEEE Transactions on Intelligent Transportation Systems
On the roles of eye gaze and head dynamics in predicting driver's intent to change lanes
IEEE Transactions on Intelligent Transportation Systems
Lane detection using support vector machines
IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
Terrain-based road vehicle localization on multi-lane highways
ACC'09 Proceedings of the 2009 conference on American Control Conference
The detection and recognition of arrow markings recognition based on monocular vision
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Lane boundary and curb estimation with lateral uncertainties
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Real-time vanishing point estimation in road sequences using adaptive steerable filter banks
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Extraction of contextual information for automotive applications
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
CyberC3: a prototype cybernetic transportation system for urban applications
IEEE Transactions on Intelligent Transportation Systems
A bibliographic analysis of the IEEE transactions on intelligent transportation systems literature
IEEE Transactions on Intelligent Transportation Systems
Vision-IMU integration using a slow-frame-rate monocular vision system in an actual roadway setting
IEEE Transactions on Intelligent Transportation Systems
A general active-learning framework for on-road vehicle recognition and tracking
IEEE Transactions on Intelligent Transportation Systems
General road detection from a single image
IEEE Transactions on Image Processing
A real-time versatile roadway path extraction and tracking on an FPGA platform
Computer Vision and Image Understanding
A situation-adaptive lane-keeping support system: overview of the SAFELANE approach
IEEE Transactions on Intelligent Transportation Systems
Using multi-modal 3D contours and their relations for vision and robotics
Journal of Visual Communication and Image Representation
An adaptive method for detecting lane boundary in night scene
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Driver's behavior assessment by on-board/off-board video context analysis
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Joint ego-motion and road geometry estimation
Information Fusion
Crossing road monitoring system based on adaptive decision for illegal situation
Applied Soft Computing
Probabilistic lane estimation for autonomous driving using basis curves
Autonomous Robots
Assessment of visibility quality in adverse weather and illumination conditions
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Visual object tracking via one-class SVM
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
A novel system for robust lane detection and tracking
Signal Processing
Linear fuzzy space based road lane model and detection
Knowledge-Based Systems
Designing an integrated driver assistance system using image sensors
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
Noise and illumination invariant road detection based on vanishing point
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A fast vanishing point detection method in structured road
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
An effective lane detection algorithm for structured road in urban
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Radar signature in multiple target tracking system for driver assistant application
Proceedings of the Conference on Design, Automation and Test in Europe
A real-time system of lane detection and tracking based on optimized RANSAC B-spline fitting
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Keeping the vehicle on the road: A survey on on-road lane detection systems
ACM Computing Surveys (CSUR)
Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras
Expert Systems with Applications: An International Journal
Recent progress in road and lane detection: a survey
Machine Vision and Applications
Active learning for on-road vehicle detection: a comparative study
Machine Vision and Applications
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Driver-assistance systems that monitor driver intent, warn drivers of lane departures, or assist in vehicle guidance are all being actively considered. It is therefore important to take a critical look at key aspects of these systems, one of which is lane-position tracking. It is for these driver-assistance objectives that motivate the development of the novel "video-based lane estimation and tracking" (VioLET) system. The system is designed using steerable filters for robust and accurate lane-marking detection. Steerable filters provide an efficient method for detecting circular-reflector markings, solid-line markings, and segmented-line markings under varying lighting and road conditions. They help in providing robustness to complex shadowing, lighting changes from overpasses and tunnels, and road-surface variations. They are efficient for lane-marking extraction because by computing only three separable convolutions, we can extract a wide variety of lane markings. Curvature detection is made more robust by incorporating both visual cues (lane markings and lane texture) and vehicle-state information. The experiment design and evaluation of the VioLET system is shown using multiple quantitative metrics over a wide variety of test conditions on a large test path using a unique instrumented vehicle. A justification for the choice of metrics based on a previous study with human-factors applications as well as extensive ground-truth testing from different times of day, road conditions, weather, and driving scenarios is also presented. In order to design the VioLET system, an up-to-date and comprehensive analysis of the current state of the art in lane-detection research was first performed. In doing so, a comparison of a wide variety of methods, pointing out the similarities and differences between methods as well as when and where various methods are most useful, is presented