CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection

CoDAC: Autonomous Obstacle Avoidance Optimization for Unmanned Surface Vehicle Clusters via Multi-Modal Dynamic Perception and Collaborative Community Detection

Autonomous obstacle avoidance for unmanned surface vehicle (USV) clusters in dynamic marine environments faces challenges including heterogeneous sensor fusion, multi-objective optimization conflicts, and scalable swarm coordination. This paper proposes CoDAC, an autonomous obstacle avoidance optimi...

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Bibliographic Details
Main Authors: Youhong Li, Jiawei Ye, Le Gao, Min Cai
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Unmanned surface vehicle clusters
multi-modal perception
incremental community detection
collaborative path planning
COLREGs compliance
Online Access:https://ieeexplore.ieee.org/document/11098833/
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