Gaussian Process-Based Personalized Adaptive Cruise Control
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Institute for Software Integrated Systems, Vanderbilt University, Nashville, TN, USA
2. InfoTech Labs, Toyota Motor North America, Mountain View, CA, USA
Funder
National Science Foundation
InfoTech Labs, Toyota Motor North America, under Digital Twin Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
https://ieeexplore.ieee.org/ielam/6979/9942712/9774935-aam.pdf
Reference60 articles.
1. Efficient reinforcement learning using Gaussian processes;deisenroth,2010
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4. Control Barrier Functions: Theory and Applications
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