3 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments
Zongyuan Shen, James Wilson, Ryan Harvey +1
This paper addresses the fast replanning problem in dynamic environments with moving obstacles. Since for randomly moving obstacles the future states are unpredictable, the propose…
CPPNet: A Coverage Path Planning Network
Zongyuan Shen, Palash Agrawal, James P. Wilson +2
This paper presents a deep-learning based CPP algorithm, called Coverage Path Planning Network (CPPNet). CPPNet is built using a convolutional neural network (CNN) whose input is a…
A Non-uniform Sampling Approach for Fast and Efficient Path Planning
James P. Wilson, Zongyuan Shen, Shalabh Gupta
In this paper, we develop a non-uniform sampling approach for fast and efficient path planning of autonomous vehicles. The approach uses a novel non-uniform partitioning scheme tha…
MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments
Zongyuan Shen, James P. Wilson, Ryan Harvey +1
This paper presents a novel algorithm, called MRRT, which uses multiple rapidly-exploring random trees for fast online replanning of autonomous vehicles in dynamic environments wit…