Visibility-Enhanced Elastic Tracker Algorithm for Stable and Flexible Aerial Tracking

This paper proposes the visibility-enhanced Elastic Tracker algorithm to address the line-of-sight occlusion problem presented in previous algorithms for target tracking with unmanned aerial vehicles (UAV). The path generated by the traditional A* algorithm often provides poor visibility for the UAV to track its target. To relieve this issue, we introduce a novel visibility heuristic function that can improve the visibility of the target along the tracking path. In addition, to further improve the visibility of the target, we first incorporate the occlusion effect (OE) metric against obstacles into the trajectory optimization process. Then, we devise two new visibility constraint terms, multi-target observation angle (MAO) and multi-target movement speed angle (MTSA), to enhance the visibility of the target and reduce the risk of tracking failure. Finally, the superiority of our method is verified through simulations by comparing it with existing methods. The comparative results show that our method can effectively relieve the issue of targets being occluded by obstacles and improve the tracking success rate.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icus61736.2024.10840091
Citations
1
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
1.30

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article

Visibility-Enhanced Elastic Tracker Algorithm for Stable and Flexible Aerial Tracking

Tianyi Li, Xuebo Zhang, Shiyong Zhang, Ziyu Wang et al.
1 citations
Infrared Target Detection Methodologies
1.30
article

Visibility-Enhanced Elastic Tracker Algorithm for Stable and Flexible Aerial Tracking

Tianyi Li, Xuebo Zhang, Shiyong Zhang, Ziyu Wang, Haobo Xi
article en
1 citations

Abstract

This paper proposes the visibility-enhanced Elastic Tracker algorithm to address the line-of-sight occlusion problem presented in previous algorithms for target tracking with unmanned aerial vehicles (UAV). The path generated by the traditional A* algorithm often provides poor visibility for the UAV to track its target. To relieve this issue, we introduce a novel visibility heuristic function that can improve the visibility of the target along the tracking path. In addition, to further improve the visibility of the target, we first incorporate the occlusion effect (OE) metric against obstacles into the trajectory optimization process. Then, we devise two new visibility constraint terms, multi-target observation angle (MAO) and multi-target movement speed angle (MTSA), to enhance the visibility of the target and reduce the risk of tracking failure. Finally, the superiority of our method is verified through simulations by comparing it with existing methods. The comparative results show that our method can effectively relieve the issue of targets being occluded by obstacles and improve the tracking success rate.

Nankai University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Openalex Percentile: Top 11%
Infrared Target Detection Methodologies
1.30
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Visibility-Enhanced Elastic Tracker Algorithm for Stable and Flexible Aerial Tracking — Tianyi Li, Xuebo Zhang, et al. · (2024) | TGRS Research Map | TGRS