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%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Occurrence-Based Parking Space Detection




    Erscheinungsdatum :

    2023-10-01


    Format / Umfang :

    5477258 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vehicle parking assist system with vision-based parking space detection

    GUPTA NIKHIL / CORRAL-SOTO EDUARDO R | Europäisches Patentamt | 2018

    Freier Zugriff

    VEHICLE PARKING ASSIST SYSTEM WITH VISION-BASED PARKING SPACE DETECTION

    GUPTA NIKHIL / CORRAL-SOTO EDUARDO R | Europäisches Patentamt | 2017

    Freier Zugriff

    Parking space parking detection method

    LI DONGSHENG | Europäisches Patentamt | 2021

    Freier Zugriff

    Parking space detection method and parking space detection system

    ZHANG KAI / WANG SHITING | Europäisches Patentamt | 2021

    Freier Zugriff

    Parking space detection method based on parking space mark points

    SONG SHAOJING / LIU ZAIQING / AI LUXIA et al. | Europäisches Patentamt | 2023

    Freier Zugriff