Road Paver Vision Control for Edge Line Following

The patent replaces manual mechanical control with an automated vision-based control system. A camera captures images of the work environment, and a processor automatically analyzes these images to detect edge lines and obstacles, then controls the road paver's movements accordingly. This substitution of manual operation with automated optical-mechanical systems resolves the contradiction by achieving high paving accuracy through automated edge line following while maintaining operational simplicity through automatic control.

The road paver system performs self-guidance and self-protection functions through the automated image processing system. The system independently detects edge lines, calculates positioning information, and adjusts its own movement without continuous manual intervention. This self-service capability enables the machine to automatically follow edge lines with high precision and autonomously avoid obstacles, resolving the contradiction between paving accuracy and operational ease.

The patent introduces an image processing system as an intermediary between the environment and the road paver control system. The camera and processor act as mediators that capture environmental information (edge lines and obstacles), process this information to extract positioning data, and translate it into control commands for the road paver. This intermediary approach enhances safety by providing automated obstacle detection and avoidance while managing complexity through modular system architecture.

The system implements continuous feedback control by repeatedly capturing images, processing them to determine current positioning relative to edge lines, and adjusting the road paver's movement based on this feedback. The processor calculates positioning information from captured images and uses this feedback to automatically adjust the paver's position and orientation. This closed-loop feedback mechanism improves reliability and safety by enabling real-time correction of positioning errors and automatic obstacle avoidance.

The system performs preliminary action by continuously capturing and pre-processing images in real-time as the road paver moves. The image processing occurs proactively rather than reactively, with the processor continuously analyzing captured images to detect edge lines and obstacles before they become critical issues. This preliminary processing approach maintains high measurement precision for edge line detection while minimizing time loss by keeping the processing pipeline continuously active rather than processing only when needed.

The patent implements continuous useful action through uninterrupted image capture and processing. The camera system continuously captures images of the work environment, and the processor continuously processes these images to track edge lines and detect obstacles in real-time. This continuous operation ensures that positioning information is always current, enabling precise edge line following and immediate obstacle response without periodic interruptions or delays in detection.