Identification of Personalized Potential Field and Its Application to Obstacle Avoidance Assisting Control (Second Report)


This paper introduces potential functions which represent path and velocity simultaneously in the case of avoiding a parked car. The parameters of potential functions are identified by using driving data. Personalized driving characteristics are compared by the parameters. By using known parameters, the potential functions are applicable to the different environment and personalized driving characteristics are verified by experiment result.本研究では,経路と速度を同時に表現可能なポテンシャル関数により駐車車両回避時の運転行動を表現する.そして,個人の運転データを用いてポテンシャル場の同定を行い,各個人の運転行動の比較をする.また,既知のモデルパラメータを用いて未知環境への適用を行い,個人特性を検証する.


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  • Accession Number: 01672685
  • Record Type: Publication
  • Source Agency: Japan Science and Technology Agency (JST)
  • Files: TRIS, JSTAGE
  • Created Date: May 15 2018 3:01PM