Tracking and Measuring Explosion Points with High-Resolution Reconstruction under Binocular Occlusion
Shipeng Cheng, Meili Zhou, Zongwen Bai · Journal of big data and computing. · 2024
This paper leverages data and projects from Group A to enhance the application of bomb impact point tracking and measurement using binocular vision. The research involved gathering bomb impact measurement data across various mountain peaks of differing elevations, Using binocular drones to collect data. Nevertheless, challenges such as bomb impact overlap and occlusion within the video data were identified. To tackle these equipment-related obstacles, including bomb occlusion and camera overlap issues, remote sensing image reconstruction networks were utilized to reconstruct bomb impact images that exhibited partial overlap. The processed imagery data was annotated utilizing the labelimg annotation tool, in collaboration with the OpenCV data processing utility, for precise labeling of bomb impact images. Moreover, a multi-object tracking network was developed and trained for the effective tracking of bombs. The central aim of this research is to regress the world coordinates of initial bomb impact points by employing bomb point localization algorithms and image regression networks dedicated to bomb measurement. Furthermore, this paper delves into the inaccuracies found within target point measurements and undertakes an error analysis predicated on the information pertaining to the target. To enhance the operational capability of the airborne observation platform, the research entailed the relocation of the electro-optical pod to a predetermined position, followed by the remote transmission of the gathered data to ground-based equipment. The ground-based equipment is designed to configure parameters, control the electro-optical pod, receive commands, and process image data for conducting intersection measurement calculations. The electro-optical pod itself facilitates high-speed measurements of target impact positions across visible light, infrared, and laser modes, additionally offering capabilities for local data storage. The pod's attitude self-stabilization was accomplished with gyroscopes. Meanwhile, the ground equipment facilitates remote control, parameter setting, data reception, and the execution of intersection measurement calculations based on image data.