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An experimental study of obstacles and pedestrian classification by relative velocity distribution on urban-narrow bicycle-pedestrian road with 77 GHz FMCW radar

机译:77 GHz FMCW雷达城市狭窄自行车 - 行人道路相对速度分布对障碍和行人分类的实验研究

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In recent years, the number of people using the bicycle as a means of transportation has increased due to heightened health awareness and environmental protection and COVID-19 pandemic, instead of public such as train and bus. Further, bicycle-related traffic accidents have rapidly increased due to the rapid growth of the food-delivery business with bicycle use, and thus countermeasures are urgently needed. In this paper, we propose a method for a bicycle to detect pedestrian separating from road obstacles such as guard poles and guardrails installed in an urban-narrow bicycle-pedestrian road with the use of frequency modulated continuous wave multi-input multi-output (FMCW-MIMO) radar. In the proposed method, from the distribution of the relative velocity of the detected objects, the objects gathering around the mode of the relative-velocity distribution are judged as the road obstacles, and the objects far from the mode are judged as pedestrian. In an experiment, a bicycle equipped with 77 GHz-band FMCW-MIMO radar, ran at a speed of 2 m/s and a pedestrian walked ahead at a speed of 1 m/s in a narrow bicycle-pedestrian road (school zone) in central Tokyo. Experimental result shows that the pedestrian was detected with about 1m/s-higher relative velocity than around 1.5 m/s of mode relative velocity, where road obstacles group distributed in the range of ±0.5 m/s.
机译:近年来,由于健康意识和环境保护和Covid-19大流行,而不是公共汽车,而是使用自行车作为运输工具的人数增加了人数。此外,由于自行车使用的食品输送业务的快速增长,自行车相关的交通事故迅速增加,因此迫切需要对策。在本文中,我们提出了一种用于自行车的方法,以检测与在城市狭窄的自行车 - 行人道路中安装的防护杆和护栏等行人分离,利用频率调制的连续波多输入多输出(FMCW) -mimo)雷达。在所提出的方法中,从检测到的对象的相对速度的分布,围绕相对速度分布的模式聚集的物体被判断为道路障碍物,并且远离模式的物体被判断为行人。在实验中,配备有77个GHz带FMCW-MIMO雷达的自行车,速度为2米/秒,并且在狭窄的自行车 - 行人道路(学校区)时,一辆行人的行人走了1米/秒东京中部。实验结果表明,以大约1m / s高的相对速度的相对速度检测到行人,该速度约为1.5米/秒,其中道路障碍物分布在±0.5米/秒的范围内。

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