Recognition of parking spaces on dry and wet road surfaces using received light intensity of laser for ultra small EVs

Tatsuya Kamiyama, Shoichi Maeyama, Kazuya Okawa, Keigo Watanabe, Yasuyuki Nogami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research and development of automatic driving technology has been actively conducted in recent years. Under this background, it is considered that the car parking problem is expected to be developed for supporting drivers to complete automatic parking. Many parking lots in an urban area prepare parking spaces with asphalt road surface drawn by white paint. Research to recognize parking spaces using camera images has been conducted so far. However, camera images are known to be not robust to environmental conditions such as nighttime and a backlight. Therefore, a method of recognizing parking spaces is proposed so that it can be used even when the use time is day or night, irrespective of whether the road surface is dry or wet. In the proposed method, the road surface is classified using the statistical model of the received light intensity value of laser range scanner. Then, the target parking position is estimated by Hough transformation.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages494-501
Number of pages8
ISBN (Electronic)9781538636152
DOIs
Publication statusPublished - Apr 25 2019
Event2019 IEEE/SICE International Symposium on System Integration, SII 2019 - Paris, France
Duration: Jan 14 2019Jan 16 2019

Publication series

NameProceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019

Conference

Conference2019 IEEE/SICE International Symposium on System Integration, SII 2019
CountryFrance
CityParis
Period1/14/191/16/19

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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  • Cite this

    Kamiyama, T., Maeyama, S., Okawa, K., Watanabe, K., & Nogami, Y. (2019). Recognition of parking spaces on dry and wet road surfaces using received light intensity of laser for ultra small EVs. In Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019 (pp. 494-501). [8700344] (Proceedings of the 2019 IEEE/SICE International Symposium on System Integration, SII 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2019.8700344