Detection of Crossing Pedestrians and Control Support in Autonomous Vehicles using Edge-devices

被引：0

作者：

Ebizuka, Yuki ^{[1
,2
]}

Shimizu, Yuto ^{[1
,2
]}

Kato, Shin ^{[1
]}

Itami, Makoto ^{[2
]}

机构：

[1] Natl Inst Adv Ind Sci & Technol, Dept Intelligent Syst Res, Tsukuba, Ibaraki 3058568, Japan

[2] Tokyo Univ Sci, Dept Appl Elect, Niiju Ku, Katushika 1258585, Japan

来源：

2019 IEEE VEHICULAR NETWORKING CONFERENCE (VNC) | 2019年

关键词：

Edge computing; vehicular device networking; Detection system; Autonomous vehicle; Image processing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The National Institute of Advanced Industrial Science and Technology aims to implement new means of transportation with autonomous vehicles. In autonomous vehicles, pedestrian recognition and control decisions are one of many important issues. In this study, a machine-learning-based-image analysis method is used to verify control judgment for pedestrian recognition, including their direction and their use of mobile phones. In addition, by using an edge computing system that utilizes multiple edge devices, we are aiming for recognition outside the vehicle that is not affected by communication failures. The results of the demonstration carried out for verification of the same have been reported in this paper.

引用

页数：7