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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Библиографические подробности

Главные авторы:	Yuchu Ji, Rentong Sun, Yang Wang, Zijian Zhu, Zhenghao Liu
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-07-01
Серии:	Sensors
Предметы:	path planning graph neural network attention mechanisms multi-unmanned autonomous vehicles
Online-ссылка:	https://www.mdpi.com/1424-8220/25/14/4283
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