Multi-mode sensing docking method and system for unmanned transport vehicle and loading and unloading equipment

Through multimodal environment perception technology and intelligent path planning algorithm, accurate docking between unmanned transport vehicles and loading and unloading equipment is achieved, solving the problems of docking failure and production line stagnation in the existing technology, and improving the success rate of docking and the stability of production line.

CN119984264AActive Publication Date: 2025-05-13AISINO CORPORATION +1
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Patent Information

Application Number
CN202411970435.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-05-13
Estimated Expiration
2044-12-30

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Abstract

The invention discloses a docking method and system for an unmanned transport vehicle and loading and unloading equipment based on multi-modal environment perception, and the method comprises the steps: carrying out the multi-modal environment perception of the loading and unloading equipment and the surrounding environment in a preset range, and obtaining the multi-modal environment perception data; synthesizing the multi-modal environment sensing data to generate a multi-modal environment model; generating a selected docking path from the current position of the unmanned transport vehicle to the loading and unloading equipment through a path planning algorithm under the condition of considering the factors of obstacles, the loading and unloading equipment and the driving speed; when the unmanned transport vehicle runs on the basis of the selected docking path, dynamically adjusting the selected docking path on the basis of the multi-modal environment sensing data acquired in real time; the unmanned transport vehicle runs towards the loading and unloading equipment based on the adjusted selected docking path; when it is sensed that the distance between the unmanned transport vehicle and the loading and unloading equipment is within the preset distance, the vehicle speed and the position of the unmanned transport vehicle are adjusted through self-adaptive PID control, so that the unmanned transport vehicle and the loading and unloading equipment are in accurate butt joint.
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