Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Alexander Katriniok"'
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:18288-18300
We propose a fully distributed control system architecture, amenable to in-vehicle implementation, that aims to safely coordinate connected and automated vehicles (CAVs) at road intersections. For control purposes, we build upon a fully distributed m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65b3eb59d7b0d1005a9d252f7280f63c
https://doi.org/10.1109/tits.2022.3162038
https://doi.org/10.1109/tits.2022.3162038
Autor:
Alexander Katriniok
Publikováno v:
AI-enabled Technologies for Autonomous and Connected Vehicles ISBN: 9783031067792
The exploitation of communication technologies enables connected and automated vehicles (CAVs) to operate more collaboratively, that is, by exchanging or even negotiating future trajectories and control actions. That way, CAVs (or agents) can establi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8515907549f814666701508337e4e29
https://doi.org/10.1007/978-3-031-06780-8_15
https://doi.org/10.1007/978-3-031-06780-8_15
Autor:
Mathijs Schuurmans, Alexander Katriniok, Christopher Meissen, H. Eric Tseng, Panagiotis Patrinos
Publikováno v:
Artificial Intelligence. 320:103920
We present a case study applying learning-based distributionally robust model predictive control to highway motion planning under stochastic uncertainty of the lane change behavior of surrounding road users. The dynamics of road users are modelled us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c528bf20284de873c9769355ef84db2
https://doi.org/10.1016/j.artint.2023.103920
https://doi.org/10.1016/j.artint.2023.103920
Autor:
Alexander Katriniok
Publikováno v:
IFAC-PapersOnLine. 53:14336-14343
Connected and automated vehicles (CAVs) offer huge potential to improve the performance of automated vehicles (AVs) without communication capabilities, especially in situations when the vehicles (or agents) need to be cooperative to accomplish their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b96c13ec92d25e918e9586a315d3b26
https://doi.org/10.1016/j.ifacol.2020.12.1379
https://doi.org/10.1016/j.ifacol.2020.12.1379
Publikováno v:
IFAC-PapersOnLine. 53:15128-15133
We propose a learning-based, distributionally robust model predictive control approach towards the design of adaptive cruise control (ACC) systems. We model the preceding vehicle as an autonomous stochastic system, using a hybrid model with continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6893c00c5b5a504298fca0c102ae04d2
https://doi.org/10.1016/j.ifacol.2020.12.2037
https://doi.org/10.1016/j.ifacol.2020.12.2037
Publikováno v:
ISSUE=41;STARTPAGE=145;ENDPAGE=145;TITLE=41st Benelux Meeting on Systems and Control 2022
Pure TUe
Pure TUe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::058f6b713f86f4ee6f1abe58f2d8df91
https://research.tue.nl/nl/publications/b1510670-ac8a-49a4-8bf9-062aafa9438c
https://research.tue.nl/nl/publications/b1510670-ac8a-49a4-8bf9-062aafa9438c
Autor:
Alexander Katriniok
This contribution introduces a centralized input constrained optimal control framework based on multiple control barrier functions (CBFs) to coordinate connected and automated agents at intersections. For collision avoidance, we propose a novel CBF w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::990fdaa17b138343582a1d276a8dd1e5
http://arxiv.org/abs/2111.10205
http://arxiv.org/abs/2111.10205
The topic of this paper is the design of a fully distributed and real-time capable control scheme for the automation of road intersections. State of the art Vehicle-to-Vehicle (V2V) communication technology is adopted. Vehicles distributively negotia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a32f96ebcea54b9f61f3af35fafd494
Autor:
Jayendra Parikh, Mustafa Ridvan Cantas, Levent Guvenc, Hao Zhang, Michael A. Shulman, Alexander Katriniok, Gopichandra Surnilla, Sukru Yaren Gelbal, Bilin Aksun Güvenç
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86db03677a9a1ca75c4c2e7fc78a6f7d
https://doi.org/10.4271/2020-01-1379
https://doi.org/10.4271/2020-01-1379
Publikováno v:
IFAC-PapersOnLine. 50:987-993
Highly automated driving is one of the major visions in automotive research. Low speed autonomy like e.g. highly automated parking is an essential intermediate step towards that goal. While lateral control for automated parking is already successfull
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb0efb0cebb547706f4cbae6f56195c0
https://doi.org/10.1016/j.ifacol.2017.08.204
https://doi.org/10.1016/j.ifacol.2017.08.204