Intelligent driving lane with UHF RF-ID and navigation system against low visible condition caused by snow storm

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K01222
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Kitami Institute of Technology
• Principal Investigator: KAWAMURA Takeshi 北見工業大学, 工学部, 准教授 (80234128)
• Co-Investigator(Kenkyū-buntansha): 柏 達也 北見工業大学, 工学部, 教授 (30211155) ; 今井 卓 北見工業大学, 工学部, 助教 (00584575) ; 田口 健治 北見工業大学, 工学部, 准教授 (60435485) ; 岸本 恭隆 北見工業大学, 工学部, 助教 (90261403)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: UHF帯RF-ID / 車線の情報化 / 暴風雪悪視界 / ナビゲーションシステム

Outline of Final Research Achievements

In this study, a vehicle navigation system against low visible condition coused by snow storm is considered. In our previous study, vehicle navigation for the straight driving lane has been achieved. In this study, magnetic direction detector is took into our system and knowledge of navigation for the straight lane is applied to navigation system for intersection with turn action and curved driving lane. Using developed navigation system, we made driving experiment with artificial low visible condition. In our navigation system, RF-ID tags are buried under the road surface. Several information, e.g. driving lane before intersection and before curved driving lane, is written in the RF-ID tag's memory. It means that driving lane become intelligent.

Free Research Field

制御工学