KFU. Card publication. LIDAR-based parking spot search algorithm

KAZAN
FEDERAL UNIVERSITY

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LIDAR-BASED PARKING SPOT SEARCH ALGORITHM

Form of presentation

Articles in international journals and collections

Year of publication

2020

Язык

английский

Authors, employees of KFU

Zakiev Aufar Azatovich, author

Imameev Dinir Tagirovich, author

Magid Evgeniy Arkadevich, author

Coy Tatyana Grigorevna, author

Bibliographic description in the original language

Imameev D., Zakiev A., Tsoy T., Bai Y., Svinin M., Magid E. LIDAR-based Parking Spot Search Algorithm // The 13th International Conference on Machine Vision (ICMV), 1160502 (Rome, Italy; 02-06 November 2020).

Annotation

Proceedings of the Thirteenth International Conference on Machine Vision

Keywords

Clustering algorithms, LIDAR, laser range finder, LRF, parking, autonomous vehicle, robot operating system, ROS

The name of the journal

Proceedings of the Thirteenth International Conference on Machine Vision

URL

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11605/1160502/LIDAR-based-parking-spot-search-algorithm/10.1117/12.2587070.short

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=248658&p_lang=2

Resource files

File name	Size (MB)	Format
2020_LIDAR_based_parking_spot_search_algorithm.pdf	0,76	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Zakiev Aufar Azatovich	ru_RU
dc.contributor.author	Imameev Dinir Tagirovich	ru_RU
dc.contributor.author	Magid Evgeniy Arkadevich	ru_RU
dc.contributor.author	Coy Tatyana Grigorevna	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Imameev D., Zakiev A., Tsoy T., Bai Y., Svinin M., Magid E. LIDAR-based Parking Spot Search Algorithm // The 13th International Conference on Machine Vision (ICMV), 1160502 (Rome, Italy; 02-06 November 2020).	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=248658&p_lang=2	ru_RU
dc.description.abstract	Proceedings of the Thirteenth International Conference on Machine Vision	ru_RU
dc.description.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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Clustering algorithms	ru_RU
dc.subject	LIDAR	ru_RU
dc.subject	laser range finder	ru_RU
dc.subject	LRF	ru_RU
dc.subject	parking	ru_RU
dc.subject	autonomous vehicle	ru_RU
dc.subject	robot operating system	ru_RU
dc.subject	ROS	ru_RU
dc.title	LIDAR-based parking spot search algorithm	ru_RU
dc.type	Articles in international journals and collections	ru_RU