稳健稳定的道路模型

S. Richter, D. Wetzel
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引用次数: 7

摘要

本文提出了一种鲁棒稳定的交通场景道路检测和道路跟踪模型。场景分析分为初始阶段和目标跟踪阶段,在初始阶段对目标进行首次识别。路面分析是通过一个明确的道路形状模型来完成的,该模型逐步调整到图像区域。在跟踪阶段,将调整后的模型用于基于模型的路面鲁棒分割。为了对包含障碍物的场景进行可靠的分析,该系统配备了前瞻机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust and stable road model
In this paper a robust and stable model for road detection and road following in traffic scenes is proposed. Scene analysis consists of an initial phase, in which objects are recognized for the first time, and a phase of object tracking with simultaneous object recognition. Road surface analysis is done by means of an explicit model for the road shape that is adjusted stepwise to image regions. In the tracking phase the adjusted model is used for robust model-based segmentation of the road surface. For a reliable analysis of scenes containing obstacles, the system is equipped with a look-ahead mechanism.
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