Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation
University of California, San Diego · Robotics Research (United States)
Abstract
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…
Citation impact
- FWCI
- 78.86
- Percentile
- 100%
- References
- 50
Authors
2Topics & keywords
- Robustness (evolution)
- Advanced driver assistance systems
- Computer science
- Computer vision
- Artificial intelligence
- Lane departure warning system
- Road surface
- Ground truth
- Sustainable cities and communities