Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jean-Alexis Delamer"'
Publikováno v:
IEEE Access, Vol 9, Pp 133989-134004 (2021)
A Vehicular Ad-Hoc Network (VANET) helps vehicles send and receive environmental and traffic information, making it a crucial component towards fully autonomous roads. For VANETs to serve their purpose, there has to be sufficient coverage, even in ar
Externí odkaz:
https://doaj.org/article/6bc381c7139a47db9df5284bfb4a8601
Autor:
Jean-Alexis Delamer, Sidney Givigi
Publikováno v:
IEEE Transactions on Automatic Control. 67:4963-4970
Publikováno v:
Journal of Intelligent & Robotic Systems. 107
Autor:
Jean-Alexis Delamer, Sidney Givigi
Publikováno v:
2022 IEEE International Systems Conference (SysCon).
Publikováno v:
Robotics and Autonomous Systems
Robotics and Autonomous Systems, Elsevier, 2021, pp.103800. ⟨10.1016/j.robot.2021.103800⟩
Robotics and Autonomous Systems, Elsevier, 2021, pp.103800. ⟨10.1016/j.robot.2021.103800⟩
International audience; This paper introduces a concept of safe path planning for UAV’s autonomous operation in an urban environment where GNSS-positioning may become unreliable or even unavailable. If the operation environment is a priori known an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726b829df751a3e341f94e2a727b4b31
https://hal.archives-ouvertes.fr/hal-03336825/document
https://hal.archives-ouvertes.fr/hal-03336825/document
Autor:
Jean-Alexis Delamer, Sidney N. Givigi
Publikováno v:
SMC
This paper proposes a protocol that ensures trust between two vehicles in a multi-vehicle system. Trust is the implicit assessment that another vehicle will follow a predetermined strategy. The communication is done through a channel and the quantity
Publikováno v:
AIAA Scitech 2019 Forum.
This paper addresses safe path planning problem in urban environments under onboard sensor availability uncertainty. In this context, an approach based on Mixed-Observability Markov Decision Process (MOMDP) is presented. Such a model enables the plan
Publikováno v:
AIAA Scitech 2019 Forum
AIAA Scitech 2019 Forum, Jan 2019, San Diego, CA, United States. pp.2202, ⟨10.2514/6.2019-2202⟩
AIAA Scitech 2019 Forum, Jan 2019, San Diego, CA, United States. pp.2202, ⟨10.2514/6.2019-2202⟩
International audience; This paper addresses safe path planning problem in urban environments under onboard sensor availability uncertainty. In this context, an approach based on Mixed-Observability Markov Decision Process (MOMDP) is presented. Such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::380323da385aa3419307bb6fbe0fd730
https://oatao.univ-toulouse.fr/21936/
https://oatao.univ-toulouse.fr/21936/