Work

Accelerated Reconstruction of Scenes Using CUDA-Based Parallel Computing

Year: 2024

Type: article

Abstract: In recent years, perceiving the environment has been the most important part of unmanned aerial vehicles (UAVs) inspection tasks on the battlefield scene. This article aims to study how to quickly reconstruct unknown battlefield scenes, such as buildings, streets, etc. using UAVs equipped with binocular cameras and stereo-matching technology. We use a binocular module to reduce the cost of drone-borne equipment and lighten the load of the UAVs. Since the drone needs to use an embedded onboard computer and stereo matching algorithms require massive computing resources, this paper studies the optimization of CUDA-based stereo matching algorithms on embedded devices to improve the reconstruction effect of scenes and achieve rapid reconstruction, thereby reducing time costs, and enhancing drone efficiency.

Source: IEEE Access

DOI: 10.1109/access.2024.3523099

Authors: Gui Zou, Jin Jiang, Qi Chen

Institutions: Shanghai Jiao Tong University, China Aerospace Science and Technology Corporation

Language: English

Topic: Advanced Vision and Imaging

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,995

OpenAlex ID: W4405811865

FWCI:

Cites: 15

Cited by:

Related to: 10