Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Cherfaoui, Veronique"'
Publikováno v:
26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Sep 2023, Bilbao, Spain
Perception of other road users is a crucial task for intelligent vehicles. Perception systems can use on-board sensors only or be in cooperation with other vehicles or with roadside units. In any case, the performance of perception systems has to be
Externí odkaz:
http://arxiv.org/abs/2311.10415
Recently, we have been witnesses of accidents involving autonomous vehicles and their lack of sufficient information. One way to tackle this issue is to benefit from the perception of different view points, namely cooperative perception. We propose h
Externí odkaz:
http://arxiv.org/abs/2301.01250
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a high computational burden. A lot of work has been done to reduce the complexity of computations used in information fusio
Externí odkaz:
http://arxiv.org/abs/2107.07359
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a high computational burden. A lot of work has been done to reduce the complexity of computations used in information fusio
Externí odkaz:
http://arxiv.org/abs/2107.06329
LIDAR sensors are usually used to provide autonomous vehicles with 3D representations of their environment. In ideal conditions, geometrical models could detect the road in LIDAR scans, at the cost of a manual tuning of numerical constraints, and a l
Externí odkaz:
http://arxiv.org/abs/2102.03326
Publikováno v:
Information Sciences 555 (2021) 215-235
Dempster-Shafer Theory (DST) generalizes Bayesian probability theory, offering useful additional information, but suffers from a much higher computational burden. A lot of work has been done to reduce the time complexity of information fusion with De
Externí odkaz:
http://arxiv.org/abs/2011.06549
Publikováno v:
In IFAC PapersOnLine 2023 56(2):4986-4993
Publikováno v:
In IFAC PapersOnLine 2022 55(14):65-70
Publikováno v:
In Information Sciences May 2021 555:215-235
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems. 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Tokyo : Japan (2013)
Evidential grids have recently shown interesting properties for mobile object perception. Evidential grids are a generalisation of Bayesian occupancy grids using Dempster- Shafer theory. In particular, these grids can handle efficiently partial infor
Externí odkaz:
http://arxiv.org/abs/1401.5657