Real-time lane detection for autonomous vehicles using YOLOV5 Segmentation ModelSatyabrata SwainAsis Kumar Tripathy
The experimental results show that the improved detection model is more accurate in lane-line detection. The improved model improved mAP by about 11.1% compared to the conventional YOLOv5 model. At the same time, it can solve the problems of traditional models such as low real-time performance...
Computer Vision-Based Lane Detection and Detection of Vehicle, Traffic Sign, Pedestrian Using YOLOv5doi:10.16984/saufenbilder.1393307GRAZ (Austria)TRAFFIC signs & signalsOBJECT recognition (Computer vision)COMPUTER visionDEEP learningPEDESTRIANSCONVOLUTIONAL neural networksTRAFFIC ...