An Adaptive Fusion Path Tracking Strategy for Autonomous Vehicles Based on Improved ACO Algorithm

Path tracking system is a key component in autonomous vehicles research. It is a challenge for a single controller to achieve accurate tracking in complex scenarios with dynamic curvatures and errors. Although methods based on dynamic models and optimization theory can improve tracking performance,...

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Principais autores:	Jihan Zhang, Yuan Wang, Jinyan Hu, Hongwu You
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2025-01-01
סדרה:	IEEE Access
נושאים:	Autonomous driving path tracking control ant colony optimization algorithm adaptive fusion strategy
גישה מקוונת:	https://ieeexplore.ieee.org/document/11084774/
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