Optimize data association of point cloud to improve the quality of mapping and positioning
Year: 2024
Type: article
Institutions: Shanghai University, Guangzhou Railway Polytechnic
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4402196899
