State observation and communication for cloud vehicle control

Takeki Ogitsu, Manabu Omae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this study, a new method was developed to automate vehicles. Numerous vehicle control systems have been realized for electronic steering, driving, and braking. Higher-standard vehicle control systems have increased costs. This study focused on cloud vehicle control using roadside sensors and computers. If a high-standard vehicle control system can be realized by using vehicles with no sensors or computers, this can create a new service model for transport. The key point was to obtain state quantities of vehicles and to maintain vehicle-to-roadside communication. The proposed method obtains state quantities of vehicles with roadside sensors by using the iterative closest point algorithm. The vehicle positions are correlated with communication information. The control quantities of the vehicles are received by roadside computers. Experiments using electric vehicles showed that the proposed method can realize high-standard vehicle control for self-driving vehicles.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-July
ISBN (Print)9781479980888
DOIs
Publication statusPublished - 2015 Jul 1
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 2015 May 112015 May 14

Other

Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom
CityGlasgow
Period15/5/1115/5/14

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Keywords

  • Cloud vehicle control
  • Guidance control
  • Intelligent transportation systems
  • Laser range finder
  • V-to-R communication
  • Vehicle recognition

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

Cite this

Ogitsu, T., & Omae, M. (2015). State observation and communication for cloud vehicle control. In IEEE Vehicular Technology Conference (Vol. 2015-July). [7146106] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2015.7146106