An Autonomous Parking Space Planning System Based on Pattern Searching Algorithm

In the field of static traffic, parking space planning and moving line planning are currently carried out manually over a period of more than one week, which is inefficient and cannot be optimized automatically. Therefore, this paper proposes and implements an autonomous parking space planning system based on pattern searching algorithm, which is divided into four modules: image preprocessing module, parking area segmentation module, parking space planning module, and image post-processing module. We use the system proposed in this paper to test the simulated parking lots of the same area. The result is that the parking space plot ratio can reach 48.68%. We also optimize an existing actual parking lot. The number of parking spaces in the optimized parking lot has increased by 20% compared with the original parking lot.