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Adaptive Trajectory Generation of Autonomous Vehicle in Urban Environments (運用於都市環境之自駕車自適應軌跡生成系統)
  • 發布年度:2020
  • 主要類別:自動駕駛
  • 次要類別:論文
  • Abstract

    Adaptability of autonomous vehicle to road conditions is important to make driving safely in a mixed environment of autonomous vehicle and human driven vehicles operating on the same road. In this paper, we consider an adaptive trajectory generation methodology based on detected information from sensors to deal with obstacles break into driving path. Rule-based conditions and system architecture are constructed based on vehicle dynamic and detected information. Different scenarios including lane change, roadside stop of human drivers, and cut-in situation in urban environments are validated via simulation study. Result shows that autonomous vehicle adaptively avoids the collision well with obstacles by means of lane-change or braking based on proposed manner.

    關鍵字 :
    自動駕駛車
    (Autonomous vehicle),
    軌跡生成 (Trajectory generation),
    目標點 (Target point),
    軌跡更新 (Trajectory update)