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Mathematical Models of Human Drivers Using Artificial Risk Fields. (arXiv:2205.12722v1 [cs.LG])
May 26, 2022, 1:10 a.m. | Emily Jensen, Maya Luster, Hansol Yoon, Brandon Pitts, Sriram Sankaranarayanan
cs.LG updates on arXiv.org arxiv.org
In this paper, we use the concept of artificial risk fields to predict how
human operators control a vehicle in response to upcoming road situations. A
risk field assigns a non-negative risk measure to the state of the system in
order to model how close that state is to violating a safety property, such as
hitting an obstacle or exiting the road. Using risk fields, we construct a
stochastic model of the operator that maps from states to likely actions. …
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