A Fuzzy Dempster–Shafer Evidence Theory Method with Belief Divergence for Unmanned Surface Vehicle Multi-Sensor Data Fusion

A Fuzzy Dempster–Shafer Evidence Theory Method with Belief Divergence for Unmanned Surface Vehicle Multi-Sensor Data Fusion

The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors. To address the problem of poor fusion accuracy for exi...

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Bibliographic Details
Main Authors: Shuanghu Qiao, Baojian Song, Yunsheng Fan, Guofeng Wang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Journal of Marine Science and Engineering
Subjects:
evidence theory
multi-sensor data fusion
belief Jensen–Shannon divergence
evidence conflict
Online Access:https://www.mdpi.com/2077-1312/11/8/1596

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