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- W4323768049 abstract "Air-ground vehicles expand the road from ground to low altitude, which can effectively improve the traffic efficiency. However, there is still a lack of research on real-time accurate autonomous parking technology for its multi-modules docking stage. We propose a camera-based real-time recognition and localization framework. Firstly, the camera internal and external reference calibration is conducted to derive the real-world coordinate from image pixels. Then, the image feature extraction is adopted to detect representative features of ArUco markers. Finally, an optimization-based edge refinement method is proposed to achieve the accurate localization of the contours of ArUco markers. Our method achieves an average computational speed of 5.23 ms/frame and a maximum localization error of 3.47 mm for the detection in video sequences under various working conditions." @default.
- W4323768049 created "2023-03-11" @default.
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- W4323768049 date "2023-01-01" @default.
- W4323768049 modified "2023-09-27" @default.
- W4323768049 title "A Camera-Based Real-Time Parking Positioning Method for Air-Ground Vehicles" @default.
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- W4323768049 doi "https://doi.org/10.1007/978-981-99-0479-2_96" @default.
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