Citation

Nagano M, Suganuma N, Yoneda K, Aldibaja MA, Kishida M, Matsumoto T. Trans. Soc. Automot. Eng. Jpn. 2017; 48(2): 411-418.

Copyright

(Copyright © 2017, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.48.411

PMID

unavailable

Abstract

Autonomous vehicles are being developed for reducing traffic accidents and solving traffic jam problems. One of the most important issues for conducting autonomous driving is to track dynamic objects. Therefore, Omni-directional MWR system is used to provide a full tracking range around the vehicle. Using such a system is a cost time operation because of processing a huge amount of information that collected from the sensors. Accordingly, we propose an algorithm to share tracking information between the sensors. The real experimental results have verified that the proposed approach has significantly decreased the processing time with maintaining robust tracking performance.

Language: ja

Keywords

Binary Bayes Filter; Global Nearest Neighbor; Intelligent vehicle; Interacting Multiple Model; Omni-directional millimeter wave radar; Safety