LIDAR-based parking spot search algorithm

Dinir Imameev; Aufar Zakiev; Tatyana Tsoy; Yang Bai; Mikhail Svinin; Evgeni Magid

doi:10.1117/12.2587070

4 January 2021 LIDAR-based parking spot search algorithm

Dinir Imameev, Aufar Zakiev, Tatyana Tsoy, Yang Bai, Mikhail Svinin, Evgeni Magid

Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 1160502 (2021) https://doi.org/10.1117/12.2587070
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy

Abstract

Autonomous driving considers issues related to a car driving in different real world situations. This work addresses a parking task and describes a new LIDAR-based parking spot search algorithm. The proposed approach was successfully validated in virtual experiments within the Gazebo simulator in a parking area with a perpendicular parking setup. HDBScan, OPTICS, and Gaussian Mixture clustering methods were compared for LIDAR data clustering in the parking spot search task, and the HDBScan clustering demonstrated best prediction and performance results.

Citation Download Citation

Dinir Imameev, Aufar Zakiev, Tatyana Tsoy, Yang Bai, Mikhail Svinin, and Evgeni Magid "LIDAR-based parking spot search algorithm", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 1160502 (4 January 2021); https://doi.org/10.1117/12.2587070

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