Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks

Dynamic Path Planning for Unmanned Autonomous Vehicles Based on CAS-UNet and Graph Neural Networks

This paper proposes a deeply integrated model called CAS-GNN, aiming to solve the collaborative path-planning problem for multi-agent vehicles operating in dynamic environments. Our proposed model integrates CAS-UNet and Graph Neural Network (GNN), and, by introducing a dynamic edge enhancement modu...

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Bibliographic Details
Main Authors: Yuchu Ji, Rentong Sun, Yang Wang, Zijian Zhu, Zhenghao Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
path planning
graph neural network
attention mechanisms
multi-unmanned autonomous vehicles
Online Access:https://www.mdpi.com/1424-8220/25/14/4283
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