Smart-parking solutions use sensors, cameras, and data analysis to improve parking efficiency and reduce traffic congestion. Computer vision-based methods have been used extensively in recent years to tackle the problem of parking lot management, but most of the works assume that the parking spots are manually labeled, impacting the cost and feasibility of deployment. To fill this gap, this work presents an automatic parking space detection method, which receives a sequence of images of a parking lot and returns a list of coordinates identifying the detected parking spaces. The proposed method employs instance segmentation to identify cars and, using vehicle occurrence, generate a heat map of parking spaces. The results using twelve different subsets from the PKLot and CNRPark-EXT parking lot datasets show that the method achieved an AP25 score up to 95.60% and AP50 score up to 79.90%.
Vehicle Occurrence-Based Parking Space Detection
2023-10-01
5477258 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Vehicle parking assist system with vision-based parking space detection
Europäisches Patentamt | 2018
|VEHICLE PARKING ASSIST SYSTEM WITH VISION-BASED PARKING SPACE DETECTION
Europäisches Patentamt | 2017
|Parking space detection method and parking space detection system
Europäisches Patentamt | 2021
|Parking space detection method based on parking space mark points
Europäisches Patentamt | 2023
|