Automatic following control method based on fusion of UWB and vision
By employing an automatic following control method that integrates UWB and vision, combined with PID closed-loop control and ultrasonic obstacle avoidance detection, the problems of inaccurate positioning, rigid obstacle avoidance, and unstable movement of traditional vehicles in outdoor environments have been solved, achieving stable following and safe control in complex environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ANHUI ZIDONG SUIYI INTELLIGENT TECHNOLOGY CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-21
AI Technical Summary
Traditional manual lightweight outdoor loading vehicles require manual pushing/towing, which is physically demanding for extended periods, has insufficient positioning accuracy, unstable target recognition, a single and rigid obstacle avoidance strategy, unstable motion control, poor system module coordination, and cannot achieve stable operation and safety assurance in multiple scenarios.
The automatic following control method adopts the fusion of UWB and vision. Through the fusion of UWB and vision positioning, combined with PID closed-loop control and ultrasonic obstacle avoidance detection, it achieves accurate positioning and dynamic obstacle recognition. The dual-filter noise reduction process improves positioning stability. Combined with a three-level safety distance graded deceleration and parking mechanism, it supports seamless switching between automatic following and remote control, ensuring stable following and safety of the vehicle in complex outdoor environments.
It significantly improves positioning accuracy and target recognition stability, vehicle movement smoothness and safety, achieves stable following and obstacle avoidance in complex outdoor environments, supports automatic following and obstacle avoidance control in multiple scenarios, and enhances the coordination and safety of system modules.
Smart Images

Figure CN122431345A_ABST