Trajectory planning for automated buses in parking areas
dc.contributor.author | Martin, Asier | |
dc.contributor.author | Lattarulo, Ray | |
dc.contributor.author | Zubizarreta, Asier | |
dc.contributor.author | Perez, Joshue | |
dc.contributor.author | Lopez-Garcia, Pedro | |
dc.contributor.editor | Ferariu, Lavinia | |
dc.contributor.editor | Matcovschi, Mihaela-Hanako | |
dc.contributor.editor | Ungureanu, Florina | |
dc.contributor.institution | Tecnalia Research & Innovation | |
dc.date.issued | 2021 | |
dc.description | Publisher Copyright: © 2021 IEEE. | |
dc.description.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. | en |
dc.description.sponsorship | This work was supported by the European Project SHOW from the Horizon 2020 program under the grant agreement No 875530. | |
dc.description.status | Peer reviewed | |
dc.format.extent | 7 | |
dc.identifier.citation | Martin , A , Lattarulo , R , Zubizarreta , A , Perez , J & Lopez-Garcia , P 2021 , Trajectory planning for automated buses in parking areas . in L Ferariu , M-H Matcovschi & F Ungureanu (eds) , 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings . 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , pp. 688-694 , 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 , Iasi , Romania , 20/10/21 . https://doi.org/10.1109/ICSTCC52150.2021.9607247 | |
dc.identifier.citation | conference | |
dc.identifier.doi | 10.1109/ICSTCC52150.2021.9607247 | |
dc.identifier.isbn | 9781665414968 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85123287552&partnerID=8YFLogxK | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings | |
dc.relation.ispartofseries | 2021 25th International Conference on System Theory, Control and Computing, ICSTCC 2021 - Proceedings | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject.keywords | Autonomous driving | |
dc.subject.keywords | parking | |
dc.subject.keywords | trajectory-planning | |
dc.subject.keywords | Artificial Intelligence | |
dc.subject.keywords | Computational Theory and Mathematics | |
dc.subject.keywords | Control and Systems Engineering | |
dc.subject.keywords | Control and Optimization | |
dc.subject.keywords | SDG 11 - Sustainable Cities and Communities | |
dc.title | Trajectory planning for automated buses in parking areas | en |
dc.type | conference output |