Point-of-Conflict Prediction for Pedestrian Path-Planning

Thanh Trung Trinh, Dinh Minh Vu, Masaomi Kimura

研究成果: Conference contribution

1 被引用数 (Scopus)

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
国/地域Australia
CityVirtual, Online
Period20/6/2220/6/24

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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