A multi-agent deep reinforcement learning approach for practical decentralized UAV collision avoidance
N Thumiger, M Deghat - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
This letter proposes an improved deep reinforcement learning controller for the
decentralized collision avoidance problem. Using a unique architecture incorporating 'long …
decentralized collision avoidance problem. Using a unique architecture incorporating 'long …
A comparison of trajectory planning and control frameworks for cooperative autonomous driving
IB Viana, H Kanchwala… - Journal of …, 2021 - asmedigitalcollection.asme.org
This work considers the cooperative trajectory-planning problem along a double lane
change scenario for autonomous driving. In this paper, we develop two frameworks to solve …
change scenario for autonomous driving. In this paper, we develop two frameworks to solve …
Cooperative path-planning and tracking controller evaluation using vehicle models of varying complexities
H Kanchwala, I Bezerra Viana… - Proceedings of the …, 2021 - journals.sagepub.com
This paper discusses cooperative path-planning and tracking controller for autonomous
vehicles using a distributed model predictive control approach. Mixed-integer quadratic …
vehicles using a distributed model predictive control approach. Mixed-integer quadratic …
Learning, evaluating and optimizing behavior policies for autonomous vehicles
PC Hart - 2021 - mediatum.ub.tum.de
This thesis applies reinforcement learning to learn behavior policies for autonomous
vehicles, evaluates and post-optimizes these to obtain smooth behaviors. It proposes reward …
vehicles, evaluates and post-optimizes these to obtain smooth behaviors. It proposes reward …
Formalizing and Modeling Traffic Rules Within Interactive Behavior Planning
K Esterle - 2021 - mediatum.ub.tum.de
This thesis addresses behavior planning for autonomous vehicles in highly dense
scenarios, which are challenging because of the necessary interactions with other agents …
scenarios, which are challenging because of the necessary interactions with other agents …
[PDF][PDF] Architekturen und Algorithmen für kooperative Automobile
UDIL Eckstein, UDIS Kowalewski, J Dankert - publications.rwth-aachen.de
Architekturen und Algorithmen für kooperative Automobile Page 1 -HQV 'DQNHUW $UFKLWHNWXUHQ
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XQG $OJRULWKPHQ IU NRRSHUDWLYH $XWRPRELOH 6&+5,)7(15(,+( $87202%,/7(&+1 …
Driving Risk Models for Predicting, Planning and Warning
T Puphal - tuprints.ulb.tu-darmstadt.de
Automated cars and driver assistance systems constantly progress in complementing the
human user in many parts of the driving task. Prominent examples include car-following on a …
human user in many parts of the driving task. Prominent examples include car-following on a …
A comparison of trajectory planning and control frameworks for cooperative autonomous driving
This work considers the cooperative trajectory-planning problem along a double lane
change scenario for autonomous driving. In this paper we develop two frameworks to solve …
change scenario for autonomous driving. In this paper we develop two frameworks to solve …