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Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
Interaction-aware planning for autonomous driving requires an exploratio...
02/05/2021 ∙ by Julian Bernhard, et al. ∙
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Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning
Autonomous vehicles need to abide by the same rules that humans follow. ...
09/29/2020 ∙ by Klemens Esterle, et al. ∙
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Formalizing Traffic Rules for Machine Interpretability
Autonomous vehicles need to be designed to abide by the same rules that ...
07/01/2020 ∙ by Klemens Esterle, et al. ∙
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Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation
Mixed-Integer Quadratic Programming (MIQP) has been identified as a suit...
03/30/2020 ∙ by Klemens Esterle, et al. ∙
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BARK: Open Behavior Benchmarking in Multi-Agent Environments
Predicting and planning interactive behaviors in complex traffic situati...
03/05/2020 ∙ by Julian Bernhard, et al. ∙
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Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving
Although many research vehicle platforms for autonomous driving have bee...
05/08/2019 ∙ by Tobias Kessler, et al. ∙
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From Specifications to Behavior: Maneuver Verification in a Semantic State Space
To realize a market entry of autonomous vehicles in the foreseeable futu...
05/02/2019 ∙ by Klemens Esterle, et al. ∙
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