Probabilistic Motion Planning for Automated Vehicles
In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended s...
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Tāhiko Wāhanga pukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Karlsruhe
KIT Scientific Publishing
2021
|
| Rangatū: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
|
| Ngā marau: | |
| Urunga tuihono: | DOAB: download the publication DOAB: description of the publication |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
| Whakarāpopototanga: | In motion planning for automated vehicles, a thorough uncertainty consideration is crucial to facilitate safe and convenient driving behavior. This work presents three motion planning approaches which are targeted towards the predominant uncertainties in different scenarios, along with an extended safety verification framework. The approaches consider uncertainties from imperfect perception, occlusions and limited sensor range, and also those in the behavior of other traffic participants. |
|---|---|
| Whakaahuatanga ōkiko: | 1 electronic resource (194 p.) |
| ISBN: | KSP/1000126389 9783731510703 |
| Urunga: | Open Access |