Design of an AI Vision-Based Autonomous Driving System for Mobile Robots
Abstract
ing systems for mobile robots have been widely applied in industrial logistics, warehouse distribution, and service robotics. Traditional mobile
robots mainly rely on LiDAR or magnetic navigation methods, which suffer from high costs and limited environmental adaptability.AI vision
technology utilizes deep learning algorithms to perform real-time perception and semantic understanding of images, enabling mobile robots
to achieve environment recognition, path planning, and autonomous obstacle avoidance. This paper focuses on the overall architecture design
of a mobile robot autonomous driving system, analyzes key technologies in the vision perception module, decision-making control module,
and execution drive module, and proposes system optimization solutions. The integration of deep learning-based visual algorithms and multi
sensor information can significantly enhance environmental adaptability and operational safety of mobile robots.
Keywords
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DOI: http://dx.doi.org/10.70711/aitr.v3i9.9018
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