Driver's Decision Analysis in Terms of Pedestrian Attributes -A Case Study in Passing by a Pedestrian-

被引:0
|
作者
Shinmura, Fumito [1 ]
Kawanishi, Yasutomo [2 ]
Deguchi, Daisuke [3 ]
Ide, Ichiro [2 ]
Murase, Hiroshi [2 ]
Fujiyoshi, Hironobu [4 ]
机构
[1] Nagoya Univ, Inst Innovat Future Soc MIRAI, Nagoya, Aichi, Japan
[2] Nagoya Univ, Grad Sch Informat, Nagoya, Aichi, Japan
[3] Nagoya Univ, Informat Strategy Off, Nagoya, Aichi, Japan
[4] Chubu Univ, Dept Robot Sci & Technol, Kasugai, Aichi, Japan
基金
日本科学技术振兴机构;
关键词
D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we report a case study on driver's decision in terms of pedestrian attributes. Among various traffic situations, the situation that a vehicle passes by a pedestrian is one of the major situations. To build a safety driving system that supports a non-experienced driver in such a situation, we analyzed how experienced drivers decide to handle the vehicle in such a situation. Since pedestrian's behavior can be considered as a key factor for the decision, and also the behavior is different depending on their "attributes," such as walking or stopping, noticing the vehicle or not, using a smartphone, etc., we analyzed what pedestrian's attributes affect the driver's decisions. For the analysis, we first built a large-scale dataset of driving data. Using the dataset, we clarified what attributes are dominant for the driver's decision.
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页数:5
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