Learning a Generalizable Trajectory Sampling Distribution for Model Predictive Control
Author:
Affiliation:
1. Robotics Department, University of Michigan, Ann Arbor, MI, USA
Funder
NSF
ONR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/8860/10365208/10449376-aam.pdf
Reference51 articles.
1. Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
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4. Cross-entropy motion planning
5. Joint 2D-3D-semantic data for indoor scene understanding;Armeni,2017
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2. Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
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