Amplitude Information Aided Robust Multi-Bernoulli Filter for Marine Target Tracking

Liu, Chao; Zhang, Zhiguo; Sun, Jinping; Qi, Yue

doi:10.1109/icsp.2018.8652310

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…For the problem of target tracking, radar is traditionally used to track the target, but the target tracking is unstable and easy to be lost due to the environmental impact such as sea clutter. Liu et al 46 used the amplitude information of sea clutter and target to improve the accuracy of radar target extraction, and proposed a robust multi-Bernoulli filter in Kdistributed sea clutter environment to improve the tracking performance of sea multi-target. In terms of visible light tracking, Bu et al 47 introduced effective convolution operator (ECO) to improve the stability and accuracy of ship target tracking.…”

Section: Target Awarenessmentioning

confidence: 99%

Development status and trend of autonomous operation for unmanned surface vehicle

Cai

2022

International Conference on Computer Application and Information Security (ICCAIS 2021)

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Autonomous operation for unmanned surface vehicle (USV) is the core competence for USV, and an important mean for unmanned and intelligent operation. USVs can be used for multi-mission, so autonomous operation for USV faces a lot of challenges, such as complex and changeable marine environmental factors, limited means of awareness in sea, low degree of automated operational decisions, difficult integration control of sailing and combat equipment. This study summarizes the development status of autonomous operation for USVs from awareness, decision and control. It addresses the difficult issues and current main technologies of autonomous operation for USVs, and points out the deficiencies of the technologies. Finally, based on the analyses of development status, it addresses the development trend of autonomous operation for USV.

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Section: Target Awarenessmentioning

confidence: 99%