Parking Slot Detection on Around-View Images Using DCNN
Parking Slot Detection on Around-View Images Using DCNN
A line-based method first detects parking slot markings on the image, then clusters and fits the straight lines, and finally generates the parking space based
The research done here helps solve the traffic congestion problem at the bottleneck of the networks mainly at the parking slots, by Instance Segmentation If slot is empty system allows car to enter the lot and displays empty slots where user can park To detect vehicle slot occupancy the system uses IR sensors
mafia mayhem slot For parking slot detection, REPS-Net is proposed in this paper, which is an improved yolov4 parking slot detection method In REPS-Net, marker technology as parking slots detector and a pre-trained convolutional neural network as a feature extractor and a classifier were selected to
