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- W3162392102 abstract "Recently, as the interest of smart parking system is increasing, the various methods for detecting parking occupation are under study. In this paper, we present a vision-based parking occupation detection with embedded AI processor. By employing a fisheye lens camera, multiple parking slot states are identified in one device. We measure the recognition rate of the AI processor in the proposed system and determine the optimized configuration with software simulator. The highest recognition rate is measured at 94.48% in the configuration of 64 number of training data with 256 bytes data size." @default.
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- W3162392102 date "2021-01-10" @default.
- W3162392102 modified "2023-10-01" @default.
- W3162392102 title "Vision-based Parking Occupation Detecting with Embedded AI Processor" @default.
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- W3162392102 doi "https://doi.org/10.1109/icce50685.2021.9427661" @default.
- W3162392102 hasPublicationYear "2021" @default.
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