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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| Superior document: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie |
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| Year of Publication: | 2021 |
| Language: | English |
| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Physical Description: | 1 electronic resource (194 p.) |
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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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| ISBN: | 1000126389 |
| Hierarchical level: | Monograph |