Motion Planning for Autonomous Vehicles in Partially Observable Environments
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Karlsruhe, Karlsruher Institut für Technologie (KIT), Dissertation, 2022
- Erschienen in
-
Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie ; 050
- Schlagwort
-
Bahnplanung
Autonomes Fahrzeug
Unsicherheit
Fahrerverhalten
Fahrerassistenzsystem
Umweltmodell
- Ereignis
-
Veröffentlichung
- (wo)
-
Karlsruhe
- (wer)
-
KIT Scientific Publishing
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
-
Stiller, Christoph
Kochenderfer, Mykel J.
- DOI
-
10.5445/KSP/1000158509
- URN
-
urn:nbn:de:101:1-2023092803392023230169
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Taş, Ömer Şahin
- Stiller, Christoph
- Kochenderfer, Mykel J.
- KIT Scientific Publishing
Entstanden
- 2023
Ähnliche Objekte (12)
Motion Planning for Autonomous Vehicles in Partially Observable Environments
Partially observable linear systems under dependent noises
Feedback strategies for partially observable stochastic systems
Localization of autonomous ground vehicles in dense urban environments
Perception of Unstructured Environments for Autonomous Off-Road Vehicles
Temporalised Description Logics for Monitoring Partially Observable Events
Temporalised description logics for monitoring partially observable events
Formal synthesis of partially-observable cyber-physical systems
Dynamic Decision-making in Continuous Partially Observable Domains: A Novel Method and its Application for Autonomous Driving
Time- and frequency-domain dynamic spectrum access: learning cyclic medium access patterns in partially observable environments
A*-based trajectory planning in dynamic environments for autonomous vehicles
Autonomous robot vehicles
Motion Planning for Autonomous Vehicles in Partially Observable Environments
Partially observable linear systems under dependent noises
Feedback strategies for partially observable stochastic systems
Localization of autonomous ground vehicles in dense urban environments
Perception of Unstructured Environments for Autonomous Off-Road Vehicles
Temporalised Description Logics for Monitoring Partially Observable Events
Temporalised description logics for monitoring partially observable events
Formal synthesis of partially-observable cyber-physical systems
Dynamic Decision-making in Continuous Partially Observable Domains: A Novel Method and its Application for Autonomous Driving
Time- and frequency-domain dynamic spectrum access: learning cyclic medium access patterns in partially observable environments
A*-based trajectory planning in dynamic environments for autonomous vehicles
Autonomous robot vehicles
Motion Planning for Autonomous Vehicles in Partially Observable Environments
Partially observable linear systems under dependent noises
Feedback strategies for partially observable stochastic systems
Localization of autonomous ground vehicles in dense urban environments
Perception of Unstructured Environments for Autonomous Off-Road Vehicles
Temporalised Description Logics for Monitoring Partially Observable Events
Temporalised description logics for monitoring partially observable events
Formal synthesis of partially-observable cyber-physical systems
Dynamic Decision-making in Continuous Partially Observable Domains: A Novel Method and its Application for Autonomous Driving
Time- and frequency-domain dynamic spectrum access: learning cyclic medium access patterns in partially observable environments
A*-based trajectory planning in dynamic environments for autonomous vehicles