Demo: Distracted Driving Behavior Detection To Avoid Rear-End Collisions

被引：1

作者：

Ucar, Seyhan ^{[1
]}

Oguchi, Kentaro ^{[1
]}

机构：

[1] Toyota Motor North Amer R&D, InfoTech Labs, Mountain View, CA 94043 USA

来源：

2021 IEEE VEHICULAR NETWORKING CONFERENCE (VNC) | 2021年

关键词：

D O I：

10.1109/VNC52810.2021.9644623

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The rear-end collision is the most frequent type of collision in the USA, and almost all of the rear-end collisions (e.g., 87% of them) are due to distracted drivers. In this paper, we demonstrate a distracted driving behavior detection method to avoid rear-end collisions. In distracted driving behavior detection, the ego vehicle observes the distance to preceding and following vehicles and computes how the driving behavior of the follower vehicle deviates over time. The deviation is then further analyzed, and distracted driving behavior is detected. A notification is generated for the ego vehicle whenever the follower vehicle exhibits distracted driving behavior.

引用

页码：115 / 116

页数：2

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