Intelligent parking system algorithm
What is it about?
This paper has analyzed the intelligent parking system algorithm based on camera calibration model.The camera model has been established, the initial calibration image collection is acquired by the initial image generation module, the calibration image is updated according to the output of the error analysis module, and the accuracy analysis module is used to determine whether the algorithm is over. Through the initialization, real-time updating and real-time arrangement of the time windows of the feasible paths, the collision-free path planning of multiple AGVs is realized. Experiments show that the proposed method has better robustness and flexibility and effectively improves the overall operation efficiency of intelligent parking system.
Why is it important?
Experimental results show that this method can significantly reduce the error mean and variance of the calibration image set, effectively obtain the calibration image set and improve the accuracy of the camera parameters. This method can also plan out the shortest optimal path for the AGV to accept the task under the premise of effectively solving the path conflict.