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01692nma a2200361 u 4500 |
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EBX01000000000000001133093 |
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210512 ||| eng |
| 020 |
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|a 9783731505808
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|a 1000058693
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|a Petereit, Janko
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| 245 |
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|a Adaptive State
|h Elektronische Ressource
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| 260 |
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|b KIT Scientific Publishing
|c 2016
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| 300 |
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|a 1 electronic resource (XXV, 241 p. p.)
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| 653 |
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|a autonomes Fahren
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| 653 |
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|a Pfadplanung
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| 653 |
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|a HindernisvermeidungMobile robots
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| 653 |
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|a path planning
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| 653 |
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|a autonomous driving
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| 653 |
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|a Bewegungsplanung
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| 653 |
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|a Mobile Roboter
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| 653 |
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|a obstacle avoidance
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| 653 |
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|a motion planning
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
0 |
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|a Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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|a 10.5445/KSP/1000058693
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|u https://www.ksp.kit.edu/9783731505808
|7 0
|x Verlag
|3 Volltext
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| 856 |
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|u https://directory.doabooks.org/handle/20.500.12854/40115
|z DOAB: description of the publication
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| 520 |
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|a Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state
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