A rope net trajectory reconstruction method based on event camera

For the problem of launching a rope net to remove space debris, it is expected to reconstruct the trajectory of the rope net by a combination of event-based camera, corner detection and stereo matching, and the collected data can be used for the construction and optimization of the debris removal simulator after processing.Improved on the basis of the original ARC* corner detection algorithm, the corner points in the event camera acquisition data are input as the feature points for stereo matching, and the discrete key points during the flight of the rope net are reconstructed by the stereo matching algorithm to realize the trajectory reconstruction. The results show that the algorithm has high matching accuracy and has certain feasibility and effectiveness.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1117/12.3064182
Primary Topic
Atomic and Subatomic Physics Research
Type
article
Field-Weighted Citation Impact
0.00
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article

A rope net trajectory reconstruction method based on event camera

Xi Mou, Jiarui Ni, Jiaqi Guo, Xin Wang et al.
Atomic and Subatomic Physics Research
article

A rope net trajectory reconstruction method based on event camera

Xi Mou, Jiarui Ni, Jiaqi Guo, Xin Wang, Jinke Zhao
article en

Abstract

For the problem of launching a rope net to remove space debris, it is expected to reconstruct the trajectory of the rope net by a combination of event-based camera, corner detection and stereo matching, and the collected data can be used for the construction and optimization of the debris removal simulator after processing.Improved on the basis of the original ARC* corner detection algorithm, the corner points in the event camera acquisition data are input as the feature points for stereo matching, and the discrete key points during the flight of the rope net are reconstructed by the stereo matching algorithm to realize the trajectory reconstruction. The results show that the algorithm has high matching accuracy and has certain feasibility and effectiveness.

Shenyang Ligong University (CN)
Openalex Percentile: Top 94%
Atomic and Subatomic Physics Research
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