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학술대회 Robust Lane Detection for Video-Based Navigation Systems
Cited 14 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
김성훈, 박정호, 조성익, 박순영, 이기성, 최경호
International Conference on Tools with Artificial Intelligence (ICTAI) 2007, pp.535-538
07MD1900, 텔레매틱스용 실감컨텐츠 구축/관리 기술 개발, 조성익
Lane detection from a live video captured in a moving vehicle is an important issue for autonomous vehicles and video-based navigation systems. In this paper, we present a novel idea for robust lane detection and lane color recognition. More specifically, a framework for robust lane detection is presented. Then, a novel idea to reduce illumination effects is presented. Lastly, SVM approach is presented to recognize lane color robustly for various lighting conditions including shadow, backlight, sunset, and so on. By combining information from navigation database, it is possible to decide if we are in the leftmost, middle, or the rightmost lane, which allows us to provide more realistic navigation information to drivers. Simulation results are provided to show the robustness of the proposed idea. © 2007 IEEE.
KSP 제안 키워드
Autonomous vehicle, Color Recognition, Combining information, Lane Detection, Lighting conditions, Moving Vehicle, Navigation database, Navigation information, Rightmost lane, live video, navigation system