Semantic point cloud-based adaptive multiple object detection and tracking for autonomous vehicles

HIGHLIGHTS

  • who: . et al. from the Department of Smart Vehicle Engineering, Konkuk University, Neungdong-ro, Gwangjin-gu, Seoul, Republic of Korea have published the research work: Semantic Point Cloud-based Adaptive Multiple Object Detection and Tracking for Autonomous Vehicles, in the Journal: (JOURNAL)
  • what: For that reason the authors propose a semantic point cloud-based adaptive MODT system for autonomous driving. In this paper, a class-adaptive MODT framework based on semantic point cloud was proposed.
  • how: This paper proposes a novel method about semantic point cloud-based adaptive MODT for an autonomous vehicle . . .

     

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