Abstract: An unmanned parking space detection method based on a panoramic surround view is provided. The unmanned parking space detection method adopts a Laplace fusion algorithm to splice images to obtain the panoramic surround view, which effectively realize fusion of the images. By using an image quality evaluation function, complexity of the unmanned parking space detection method is reduced while ensuring a quality of the splicing. The panoramic surround view generated by the present disclosure has a more natural transition in the areas being spliced and fused, and the panoramic surround view display is more complete and beautiful. Compared with conventional machine vision detection technologies, the unmanned parking space detection method adopts a target detection technology for detecting parking space entrance lines and adopts a more lightweight network design to ensure real-time performance of a detection algorithm thereof, which has higher detection accuracy and stronger robustness.