单摄像头车道检测和跟踪

D. Schreiber, B. Alefs, M. Clabian
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引用次数: 72

摘要

本文提出了一种利用车载前视单摄像头检测和跟踪直线车道边界的方法。该方法被证明是健壮的,即使在不同的光照条件下,以及在植被、车辆、桥梁等的阴影下。此外,假阳性几乎不发生。即使车辆在进行偏移或变道等操作时,也能持续检测到车道标记。该性能是通过一种新颖的方法组合来实现的,即首先找到车道边界的消失点候选点,然后仔细选择给定消失点的线段,最后使用智能启发式方法选择全部四个车道边界。通过跟踪消失点和基于最近历史约束车道宽度,进一步实现了对假阳性的抑制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single camera lane detection and tracking
In this paper we present a method to detect and track straight lane boundaries, using a forward-looking single camera mounted on-board. The method proved to be robust, even under varying lighting conditions, and in the presence of heavy shadowing cast by vegetation, vehicles, bridges, etc. Moreover, false positive hardly occur. The lane markings are being continuously detected even when the vehicle is performing maneuvers such as excursion or lane change. The performance is achieved by a novel combination of methods, namely, by first finding vanishing point candidates for the lane boundaries, and later by the careful selection of line segments given a vanishing point, and finally by using a smart heuristics to select the whole set of four lane boundaries. Suppression of false positives is further achieved by tracking the vanishing point, and by constraining the lane width based on recent history.
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