A proposal for Neuro-ITS over the connected vehicles network

Author

Sasaki, Mikio

Author_Institution

Adv. Res. div, DENSO Corp., Nisshin, Japan

fYear

2015

Firstpage

1

Lastpage

6

Abstract

On the basis of the recent technical trend of automated vehicles and connected vehicles, we have been proposing the new application concept Neuro-ITS which has three major technical features such as multi-viewpoint tracking, human appearance prediction, and collective intelligence. Especially by combining the collective intelligence with sensing control, we will drastically reduce the hectic tasks to collect and teach huge size of GT (ground truth) which has been serious bottleneck of conventional machine learning. Also it will greatly improve the performance of environment understanding beyond perception. In this article, we focus on the collective intelligence and investigate the technical realization regarding the evolutionary process of ET (estimated truth) towards GT.

Keywords

evolutionary computation; intelligent transportation systems; learning (artificial intelligence); neural nets; road vehicles; ET; GT; automated vehicles; collective intelligence; connected vehicle network; connected vehicles; estimated truth; evolutionary process; ground truth; human appearance prediction; machine learning; multiviewpoint tracking; neuro-ITS; sensing control; Cameras; Mobile communication; Roads; Spatiotemporal phenomena; Trajectory; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium (IV), 2015 IEEE

Type

conf

DOI

10.1109/IVS.2015.7225653

Filename

7225653