基于道路目标的79GHz超宽带雷达车辆位置估计

K. Uchiyama, A. Kajiwara
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引用次数: 8

摘要

本文提出了一种基于79GHz超宽带(UWB)雷达的车辆位置估计方法,该方法利用了车辆周围的各种道路目标。带摄像头的车道保持辅助系统是自动驾驶汽车的重要系统之一,可以使自动驾驶汽车保持在白线内。然而,在恶劣天气条件下,摄像机可能难以识别线路,而79GHz超宽带雷达可能会识别带有肋骨的线路。本文研究了降雪对探测性能的影响。其次,提出了79GHz超宽带雷达下的车辆位置估计方案,并给出了护栏、桥轨、杆子等路边物体的测量结果,而不是白线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicle location estimation based on 79GHz UWB radar employing road objects
This paper presents a vehicle location estimation based on 79GHz ultra-wideband (UWB) radar, which utilizes various road objects around car. Lane-keeping-assist system with camera is available in many cars to keep self-vehicle inside a solid white line, which is one of important systems for self-driving car. However, camera may be difficult to recognize the line in bad weather conditions, while 79GHz UWB radar may recognize the line with ribs. In this paper, the effect of snowfall on the detection performance has been investigated. Next, vehicle location estimation scheme at 79GHz UWB radar is suggested instead of white line where the measurement results of roadside objects such as guardrail, bridge-rail, and pole-corn instead of the line are presented.
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