Behavior Inducement of Personal Mobility Passenger Based on Walking Segmentation Model at Collision Avoidance

2015 Fiscal Year Final Research Report

• Project/Area Number: 24710187
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Social systems engineering/Safety system
• Research Institution: Tokyo University of Technology
• Principal Investigator: WATANABE Norifumi 東京工科大学, コンピュータサイエンス学部, 助教 (30534721)
• Project Period (FY): 2012-04-01 – 2016-03-31
• Keywords: すれ違い回避方向推定 / パーソナルモビリティ / 半自律制御 / 視覚誘導自己運動感覚 / 体性感覚 / 心理負荷

Outline of Final Research Achievements

We have implement a personal mobility performing semiautonomous control by estimating the avoidance direction of pedestrian and the avoidance judgment timing of passenger. In a space of pedestrian and personal mobility coexist, it is possible to realize a safety collision avoidance by moving a mobility in the lateral before passenger's avoidance judgment. Therefore, we utilize a motion sensor which obtains coordinates of both feet of pedestrian. And we have collision avoidance experiments between a pedestrian and the mobility implemented a model estimating avoiding direction from feet's relative positions. We have evaluated by eye tracking camera. As a result, it is possible to reduce the mental stress by semiautonomous control of mobility than autonomous control. Furthermore, we have proposed a model of passenger's vision inducement and mobility avoidance.

Free Research Field

身体情報処理，認知科学