Study on localization detection method of indoor garage in weak texture scene

Xuhua Xu; Dingkun Pan

doi:10.1117/12.2637083

15 June 2022 Study on localization detection method of indoor garage in weak texture scene

Xuhua Xu, Dingkun Pan

Proceedings Volume 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022); 122850I (2022) https://doi.org/10.1117/12.2637083
Event: International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022, Zhuhai, China

Abstract

In order to overcome the large positioning error of indoor garage caused by fuzzy scene texture, an indoor garage positioning localization method in weak texture scene is proposed. The method is divided into two stages: off-line and on-line. The off-line stage aims to establish the database of parking lot number and world coordinates of marked corners. In the online stage, the image is preprocessed first, and then the improved Hough transform algorithm is used to extract the marked corners. The feature points are matched according to the identified parking space number, combined with the world coordinate information of the marked corners stored in the database, and finally the current positioning information is calculated with the help of PNP algorithm. Taking an indoor parking garage as an example, the actual test shows that the accuracy of the marked corners extracted by the improved Hough transform algorithm proposed in this paper can reach 92.5%, which is higher than the accuracy of 84.5% by the traditional method. The average positioning error is about 0.45m, which meets the positioning requirements of the indoor garage. Simulation results show that this method is effective in weak texture scene.

Citation Download Citation

Xuhua Xu and Dingkun Pan "Study on localization detection method of indoor garage in weak texture scene", Proc. SPIE 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 122850I (15 June 2022); https://doi.org/10.1117/12.2637083

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KEYWORDS

Hough transforms

Feature extraction

Cameras

Databases

Imaging systems

Calibration

Detection and tracking algorithms

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