Trajectory planning for automated buses in parking areas

Asier Martin, Ray Lattarulo, Asier Zubizarreta, Joshue Perez, Pedro Lopez-Garcia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Automated Vehicles (AVs) are complex, and they require solutions in different areas such as perception, communications, decision, and control. In urban environments, path planning for parking maneuvers is a relevant feature. There is a good amount of research on this topic considering passenger cars. However, there are some gaps considering automated buses. This work proposes a path planning approach for parking an automated bus that targets the fewer possible trajectories to complete the parking maneuver. The algorithm considers the vehicle geometry, its kinematics, and the blockage or availability of the surrounding parking spaces, to create a set of trajectories to complete the parking maneuver. The approach was tested in simulation environments considering an electric Gulliver minibus in the framework of the European project SHOW.

Original languageEnglish
Title of host publication2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings
EditorsLavinia Ferariu, Mihaela-Hanako Matcovschi, Florina Ungureanu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages688-694
Number of pages7
ISBN (Electronic)9781665414968
DOIs
Publication statusPublished - 2021
Event25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Iasi, Romania
Duration: 20 Oct 202123 Oct 2021

Publication series

Name2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings

Conference

Conference25th International Conference on System Theory, Control and Computing, ICSTCC 2021
Country/TerritoryRomania
CityIasi
Period20/10/2123/10/21

Keywords

  • Autonomous driving
  • parking
  • trajectory-planning

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