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...
Guardado en:
Autor principal: | |
---|---|
Formato: | Electrónico Capítulo de libro |
Lenguaje: | inglés |
Publicado: |
Karlsruhe
KIT Scientific Publishing
2021
|
Colección: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
44 |
Materias: | |
Acceso en línea: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
LEADER | 00000naaaa2200000uu 4500 | ||
---|---|---|---|
001 | oapen_2024_20_500_12657_48815 | ||
005 | 20210527 | ||
003 | oapen | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20210527s2021 xx |||||o ||| 0|eng d | ||
020 | |a KSP/1000126389 | ||
020 | |a 9783731510703 | ||
040 | |a oapen |c oapen | ||
024 | 7 | |a 10.5445/KSP/1000126389 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a TG |2 bicssc | |
100 | 1 | |a Naumann, Maximilian |4 auth | |
245 | 1 | 0 | |a Probabilistic Motion Planning for Automated Vehicles |
260 | |a Karlsruhe |b KIT Scientific Publishing |c 2021 | ||
300 | |a 1 electronic resource (194 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie |v 44 | |
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
520 | |a 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. | ||
540 | |a Creative Commons |f by-sa/4.0 |2 cc |4 http://creativecommons.org/licenses/by-sa/4.0 | ||
546 | |a English | ||
650 | 7 | |a Mechanical engineering & materials |2 bicssc | |
653 | |a Bewegungsplanung | ||
653 | |a Planung unter Unsicherheiten | ||
653 | |a Entscheidungsfindung | ||
653 | |a Automatisiertes Fahren | ||
653 | |a POMDP | ||
653 | |a Motion Planning | ||
653 | |a Planning under Uncertainty | ||
653 | |a Decision-Making | ||
653 | |a Automated Vehicles | ||
856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/bitstream/id/d738a676-0693-4670-bdc2-f614d14fe965/probabilistic-motion-planning-for-automated-vehicles.pdf |7 0 |z OAPEN Library: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://library.oapen.org/handle/20.500.12657/48815 |7 0 |z OAPEN Library: description of the publication |