Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2024, Vol. 15 ›› Issue (5): 650-659.DOI: 10.3969/j.issn.1674-8484.2024.05.003

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Supplementary capture using unmanned ground vehicle for 3D reconstruction model improvement

YANG Donghui(), WANG Yuhao()   

  1. School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
  • Received:2024-08-07 Revised:2024-09-24 Online:2024-10-31 Published:2024-11-07

Abstract:

A 3D model improving method based on supplementary capture by unmanned ground vehicle was proposed to address the issue of damage and holes in 3D reconstruction models generated from images captured solely by unmanned ground vehicle. This method combined model resolution, triangular mesh structure, and manual point selection to extract areas needing improvement, generated 3D bounding boxes and normal vector information, and utilized heuristic methods to generate supplementary viewpoints. The results show that, under this method's optimization, the low-quality areas of the rough 3D model are significantly improved, with an average reduction of 66% in model projection pixel size. Therefore, this method effectively enhances the quality of 3D model reconstruction, providing a reliable solution for large-scale, detailed outdoor 3D reconstruction.

Key words: 3D reconstruction, model improvement, geometric proxy, viewpoint planning, unmanned ground vehicle

CLC Number: