Abstract
In recent years, many car parks have adopted parking management systems, leveraging digital technology to enhance user convenience. This work in progress explores how large communities, public institutions, or shopping malls with thousands of parking spaces can provide more detailed “end-to-end parking guidance services” based on the existing parking management system to further improve service quality. Specifically, we assign a dedicated parking space for each vehicle and provide personalized guidance on the displays in the parking lot. In this way, drivers are freed from the task of finding available parking spots; as long as drivers follow the exclusive guidance, their vehicles can be parked smoothly. The difference between this work and existing literature or practices lies in our use of cameras installed in the parking lot to dynamically track vehicles with computer vision technology, allowing vehicles to enjoy exclusive parking guidance services without any additional equipment on their side.
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Acknowledgments
This research is supported in part by the National Science and Technology Council, Taiwan, R.O.C., under grant number NSTC 112-2221-E-032-015.
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Kao, ZW., Lin, CY. (2024). A Personalized Parking Guidance Service Based on Computer Vision Technology for Large Car Parks. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 204. Springer, Cham. https://doi.org/10.1007/978-3-031-57942-4_15
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DOI: https://doi.org/10.1007/978-3-031-57942-4_15
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