Underwater Target Recognition and Tracking Based on Bionic Horseshoe Crab Robot

In recent years, biomimetic robotic technology h-as greatly simplified the complexity of human underwater exploration. In order to realize the effective recognition and tracking of underwater targets by a biomimetic horseshoe crab amphibious robot (BHCR), an algorithm based on lateral suppression principle is proposed. Finally, through image enhancement experiments and pool static target detection experiments, it is confirmed that BHCR can proficiently identify and track underwater static targets by using multi-freedom motion capability and ALin-based tracking algorithm.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/icma61710.2024.10633125
Citations
1
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.20

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article

Underwater Target Recognition and Tracking Based on Bionic Horseshoe Crab Robot

Liang Zheng, Yan Piao, Yuke Ma, Yu Wang et al.
1 citations
Water Quality Monitoring Technologies
0.20
article

Underwater Target Recognition and Tracking Based on Bionic Horseshoe Crab Robot

Liang Zheng, Yan Piao, Yuke Ma, Yu Wang, Hui Yu
article en
1 citations

Abstract

In recent years, biomimetic robotic technology h-as greatly simplified the complexity of human underwater exploration. In order to realize the effective recognition and tracking of underwater targets by a biomimetic horseshoe crab amphibious robot (BHCR), an algorithm based on lateral suppression principle is proposed. Finally, through image enhancement experiments and pool static target detection experiments, it is confirmed that BHCR can proficiently identify and track underwater static targets by using multi-freedom motion capability and ALin-based tracking algorithm.

Changchun University of Science and Technology (CN), Jilin Agricultural Science and Technology University (CN)
Jilin Agricultural Science and Technology University, Technology Development
Life below water
Openalex Percentile: Top 46%
Water Quality Monitoring Technologies
0.20
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