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...
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| Format: | Book Chapter |
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Karlsruhe
KIT Scientific Publishing
2021
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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| Summary: | 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. |
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| Physical Description: | 1 electronic resource (194 p.) |
| ISBN: | KSP/1000126389 9783731510703 |
| Access: | Open Access |