Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Branka Mirchevska"'
Publikováno v:
Frontiers in Future Transportation, Vol 4 (2023)
Externí odkaz:
https://doaj.org/article/d370d6cae30b41839d638d3fdae51ee5
Publikováno v:
Frontiers in Future Transportation, Vol 4 (2023)
Achieving feasible, smooth and efficient trajectories for autonomous vehicles which appropriately take into account the long-term future while planning, has been a long-standing challenge. Several approaches have been considered, roughly falling unde
Externí odkaz:
https://doaj.org/article/6621013391f345dd85d55b79a5c3a31b
Publikováno v:
ICRA
Well-established optimization-based methods can guarantee an optimal trajectory for a short optimization horizon, typically no longer than a few seconds. As a result, choosing the optimal trajectory for this short horizon may still result in a sub-op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d710d650a5f3fb791d68c847098ae08e
https://doi.org/10.1109/icra48506.2021.9560777
https://doi.org/10.1109/icra48506.2021.9560777
Publikováno v:
IROS
In many real-world decision making problems, reaching an optimal decision requires taking into account a variable number of objects around the agent. Autonomous driving is a domain in which this is especially relevant, since the number of cars surrou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f427d63d5378086ad26af40ccb8f1a20
Publikováno v:
ITSC
Machine learning techniques have been shown to outperform many rule-based systems for the decision-making of autonomous vehicles. However, applying machine learning is challenging due to the possibility of executing unsafe actions and slow learning r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77376328101cc59cc3b6ae3887910f95
https://mediatum.ub.tum.de/1454224
https://mediatum.ub.tum.de/1454224