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pro vyhledávání: '"Herman, Arnold"'
Autor:
Evans, Benjamin David, Trumpp, Raphael, Caccamo, Marco, Jahncke, Felix, Betz, Johannes, Jordaan, Hendrik Willem, Engelbrecht, Herman Arnold
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path pl
Externí odkaz:
http://arxiv.org/abs/2402.18558
Map-based methods for autonomous racing estimate the vehicle's location, which is used to follow a high-level plan. While map-based optimisation methods demonstrate high-performance results, they are limited by requiring a map of the environment. In
Externí odkaz:
http://arxiv.org/abs/2401.17732
The classical method of autonomous racing uses real-time localisation to follow a precalculated optimal trajectory. In contrast, end-to-end deep reinforcement learning (DRL) can train agents to race using only raw LiDAR scans. While classical methods
Externí odkaz:
http://arxiv.org/abs/2306.07003
Publikováno v:
Machine Learning with Applications, Vol 14, Iss , Pp 100496- (2023)
In classical autonomous racing, a perception, planning, and control pipeline is employed to navigate vehicles around a track as quickly as possible. In contrast, neural network controllers have been used to replace either part of or the entire pipeli
Externí odkaz:
https://doaj.org/article/652589d4a3b14b9d85c89692c8d7253e
Publikováno v:
In Machine Learning with Applications 15 December 2023 14
Autor:
Roth, Lynn, Van der Donckt, Carole, Emini Veseli, Besa, Van Dam, Debby, De Deyn, Peter P., Martinet, Wim, Herman, Arnold G., De Meyer, Guido R.Y.
Publikováno v:
In Vascular Pharmacology July-August 2019 118-119
Publikováno v:
MATEC Web of Conferences, Vol 370, p 07012 (2022)
This paper presents a markerless vision-based localisation algorithm to enable an autonomous inspection drone to determine its pose relative to a known inspection target. During an offline mapping phase, a 3D catalogue of the inspection target's pers
Externí odkaz:
https://doaj.org/article/393df4d6cf0e49979f6ffb3e598cbb5f
Publikováno v:
MATEC Web of Conferences. 370:07012
This paper presents a markerless vision-based localisation algorithm to enable an autonomous inspection drone to determine its pose relative to a known inspection target. During an offline mapping phase, a 3D catalogue of the inspection target's pers