Adaptive Reliable Shortest Path in Gaussian Process Regulated Environments
Xuejie HOU,Hongliang GUO,Yucheng ZHANG,Xuejie HOU,Hongliang GUO,Yucheng ZHANG
This paper studies the adaptive reliable shortest path (RSP) planning problem in a Gaussian process (GP) regulated environment. With the reasonable assumption that the travel times of the underlying transportation network follow a multi-variate Gaussian distribution, we propose two algorithms namely, Gaussian process reactive path planning (GPRPP), and Gaussian process proactive path planning (GP4...
