A Method for Long-Term Target Anti-Interference Tracking Combining Deep Learning and CKF for LARS Tracking and Capturing

A Method for Long-Term Target Anti-Interference Tracking Combining Deep Learning and CKF for LARS Tracking and Capturing

Autonomous underwater vehicles (AUV) recycling in an underwater environment is particularly challenging due to the continuous exploitation of marine resources. AUV recycling via visual technology is the primary method. However, the current visual technology is limited by harsh sea conditions and has...

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Bibliographic Details
Main Authors: Tao Zou, Weilun Situ, Wenlin Yang, Weixiang Zeng, Yunting Wang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
autonomous underwater vehicles (AUV)
long-term tracking
deep learning
CKF
LARS capturing
Online Access:https://www.mdpi.com/2072-4292/15/3/748

Internet

https://www.mdpi.com/2072-4292/15/3/748

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