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Published on: October 1, 2019
Active visual mapping system for digital operation environment of bridge crane
Keyuan Zhao1, Qicai Zhou1, Xiaolei Xiong1
1School of Mechanical Engineering, Tongji University, Shanghai 201804, China.
This study presents an active vision system for bridge cranes to enhance safety and autonomous operation. The system adapts its field of view based on crane speed, improving environmental mapping and operational safety.
Area of Science:
- Robotics
- Computer Vision
- Automation Systems
Background:
- Autonomous operation of bridge cranes requires environmental sensing.
- Existing systems may have limitations in adapting to dynamic operational states.
Purpose of the Study:
- To develop an active visual mapping system for bridge cranes.
- To enhance the safety and operational scope of bridge cranes through adaptive sensing.
Main Methods:
- An active visual mapping system using a binocular camera and servos was designed.
- Servo rotation angles were computed based on crane speed to adjust the camera's field of view.
- An experimental platform simulated the system's operation for validation.
Main Results:
- The system successfully adapted the measurement range based on the crane's operational state.
- An enhanced field of view was achieved, particularly in front of the crane.
- Experimental results confirmed improved mapping scope and enhanced operational safety.
Conclusions:
- The proposed active vision system effectively improves the digital operating environment mapping for bridge cranes.
- The technology contributes to enhanced safety in bridge crane operations.
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