Point-of-Conflict Prediction for Pedestrian Path-Planning

Thanh Trung Trinh, Dinh Minh Vu, Masaomi Kimura

研究成果: Conference contribution

抄録

A simulation model for pedestrian navigation often requires many problems to be addressed. An example is pedestrian path-planning in the case of a moving obstacle within the environment. To resolve the problem, it is necessary to model the prediction process of the pedestrian agent in order to specify a point-of-conflict area. In this paper, we propose an approach for our pedestrian agent to navigate in this situation. This process is accomplished by predicting a possible point-of-conflict with the obstacle and planning the path accordingly. Our implementation of this approach has demonstrated the capability of the agent to plan a more competent path as well as closer to the thinking process in human cognition.

本文言語English
ホスト出版物のタイトルProceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
出版社Association for Computing Machinery
ページ88-92
ページ数5
ISBN(電子版)9781450377034
DOI
出版ステータスPublished - 2020 6 22
イベント12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020 - Virtual, Online, Australia
継続期間: 2020 6 222020 6 24

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference12th International Conference on Computer Modeling and Simulation, ICCMS 2020 and the 9th International Conference on Intelligent Computing and Applications. ICICA 2020
CountryAustralia
CityVirtual, Online
Period20/6/2220/6/24

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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