Video-Based Lane Estimation and Tracking for Driver Assistance: Survey, System, and Evaluation

University of California, San Diego · Robotics Research (United States)

Indexed incrossref

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…

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1,016
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FWCI
78.86
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100%
References
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Authors

2

Topics & keywords

Keywords
  • Robustness (evolution)
  • Advanced driver assistance systems
  • Computer science
  • Computer vision
  • Artificial intelligence
  • Lane departure warning system
  • Road surface
  • Ground truth
UN Sustainable Development Goals
  • Sustainable cities and communities
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