Parking Space Detection Method Based on Panoramic Images
A parking space detection method based on panoramic images is proposed to address the challenges of complex networks and difficulties in edge deployment during the automated parking process.Ghost module is adopt-ed to quantize the parameters and the EIoU loss function is introduces to crop the detection scale,reducing compu-tational costs.Additionally,the SimSPPF module is added to replace the SPPF module to enhance computational efficiency and accurate object detection capabilities.The detected parking corners are matched and the complete parking space can be deduced.The experimental results show that the proposed model greatly reduces the network complexity while ensuring the detection accuracy,and is superior to the common methods in detection performance and deployment difficulty.
YOLOv5spanoramic imageparking space detectionGhost moduleSimSPPF module
国家科技期刊平台
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