An Efficient Sampling-Based Path Planning for the Lunar Rover with Autonomous Target Seeking
Work
Year: 2022
Type: article
Abstract: This paper presents an efficient path planning method for the lunar rover to improve the autonomy and exploration ability in the complex and unstructured lunar surface environment. Firstly, the safe z... more
Source: Aerospace
Institutions Beijing University of Posts and Telecommunications, Beijing Aerospace Flight Control Center
Cites: 20
Cited by: 10
Related to: 10
FWCI: 1.305
Citation percentile (by year/subfield): 99.99
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Sustainable cities and communities
Open Access status: gold
APC paid (est): $1,732
Grant ID 51975059