Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle

Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle

Addressing the problem of inadequate environmental detection in the process of optimizing search for unmanned surface vehicles (USVs) by a heuristic algorithm, this paper proposes a comprehensive visual perception method that combines a lightweight convolutional neural network (CNN) with the USV’s r...

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Bibliographic Details
Main Authors: Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Sensors
Subjects:
unmanned surface vehicle (USV)
convolutional neural network (CNN)
residual learning
environmental perception
lightweight network
multi-feature fusion
Online Access:https://www.mdpi.com/1424-8220/25/3/980

Internet

https://www.mdpi.com/1424-8220/25/3/980

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