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基于不确定性知识的实时道路场景理解

DOI: 10.11834/jig.20020115

Keywords: 计算机视觉导航,道路场景理解,不确定性知识推理,实时道路理解算法,机器人

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Abstract:

由于室外机器人的工作环境非常复杂,因此机器人的视觉导航必须具有足够的智能和鲁棒性,为此,提出了一种基于不确定性知识的实时道路理解算法,该算法通过不确定性知识推理来融合多种信息和知识,以满足在复杂道路环境下的鲁棒性要求,它即使在有强烈阴影、水迹等干扰下也能给出比较好的结果;通过图象边缘信息的提取可以得到精确的道路边界,以满足视觉导航的精确性要求;同时在算法设计时,兼顾了实时性要求;使得算法得以实时实现,该算法已在实际的机器人上进行了测试,并得到了很好的结果。

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