RT Conference Proceedings
T1 Trajectory planning for automated buses in parking areas
A1 Martin, Asier
A1 Lattarulo, Ray
A1 Zubizarreta, Asier
A1 Perez, Joshue
A1 Lopez-Garcia, Pedro
A2 Ferariu, Lavinia
A2 Matcovschi, Mihaela-Hanako
A2 Ungureanu, Florina
AB 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.
PB Institute of Electrical and Electronics Engineers Inc.
SN 9781665414968
YR 2021
FD 2021
LA eng
NO 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
NO conference
NO Publisher Copyright: © 2021 IEEE.
NO This work was supported by the European Project SHOW from the Horizon 2020 program under the grant agreement No 875530.
DS TECNALIA Publications
RD 28 sept 2024