基于三维雷达的非结构化路面识别
Road Detection in Unpredicted Environment Based on Three-Dimensional Radar
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摘要: 为解决非结构化路面条件下路面识别问题和提高障碍识别的准确性,采用IBEO LD-ML四线雷达设计出一套越野环境障碍识别系统,并根据系统提出一种障碍分块算法. 应用角度和长度双阈值对已得数据进行归类并进行分块,提取出阻碍车辆正常行进的区块. 通过实车试验验证整个系统的可靠性、算法的准确性和实用性,试验结果表明,该系统可以实时地提取障碍目标,为智能车辆在越野环境下行驶提供实时路面评价方法.Abstract: In order to realize obstacle recognition of unmanned ground vehicle(UGV) in unpredicted environment, and to improve the accuracy of recognition, a system based on three-dimensional radar is proposed. A classification algorithm is given according to its function, angle and distance are used as two thresholds to classify data. Then the blocks which impede the vehicles can be detected. The reliability of the system and the veracity of the algorithm are verified through experimentation. The system can provide a real-time evaluation method in unpredicted environment for intelligent vehicle.
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