Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning-Reference-Cited by-同舟云学术

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Equivariant Deep Learning of Mixed-Integer Optimal Control Solutions for Vehicle Decision Making and Motion Planning

Published:2024 Issue: Volume: Page:1-15
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Reiter Rudolf¹^ORCID,Quirynen Rien²^ORCID,Diehl Moritz³^ORCID,Cairano Stefano Di⁴^ORCID

Affiliation:

1. Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany

2. Mitsubishi Electric Research Laboratories (MERL), Cambridge, MA, USA

3. Department of Microsystems Engineering (IMTEK) and the Department of Mathematics, University of Freiburg, Freiburg, Germany

4. Mitsubishi Electric Research Laboratories, Cambridge, MA, USA

Funder

European Union

Deutsche Forschungsgemeinschaft (DFG) via Research Unit for 2401

Bundesministerium für Wirtschaft und Klimaschutz

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/87/4389040/10551458.pdf?arnumber=10551458

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