Socially Compliant Navigation in dense crowds

Roman Bresson,Jacques Saraydaryan,J. Dugdale,A. Spalanzani

Published 2019 in 2019 IEEE Intelligent Vehicles Symposium (IV)

ABSTRACT

Navigating in complex and highly dynamic environments such as crowds is still a major challenge for autonomous vehicle such as autonomous wheelchairs or even autonomous cars. This article presents a new way of navigating in crowds by using behavioral clustering for the surrounding agents and representing the crowd as a set of moving polygons. Once the environment has been modelled in this way and the robot has all the information it needs, we then propose a navigation algorithm that is able to guide the vehicle through the scene. The key-points of this algorithm are that (1) it can avoid densely-populated areas in order to minimize the risk of being on a collision course with any of the surrounding dynamic obstacles, (2) it generates socially compliant trajectories.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    2019 IEEE Intelligent Vehicles Symposium (IV)

  • Publication date

    2019-06-09

  • Fields of study

    Computer Science, Engineering

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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