Automotive LiDAR performance verification in fog and rain

Matti Kutila, Pasi Pyykönen, Hanno Holzhüter, Michel Colomb, Pierre Duthon

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)

Abstract

This article focuses on testing and investigating further development needs for LiDARs in self-driving cars in adverse weather. The article compares two different LiDARs (Ibeo Lux and Velodyne PUCK), which both use the 905 nm wavelengths, which are used in more than 95% of currently available LiDARs. The performance was tested and estimated in stabilized fog conditions at Cerema fog chamber facilities. This provides a good basis for repeating the same validation procedure multiple times and ensuring the right development decisions. However, performance of the LiDARs suffers when the weather conditions become adverse and visibility range decreases. A 50% reduction in target detection performance was observed over the exhaustive tests. Therefore, changing to higher wavelengths (1550 nm) was considered using redesigned 'pre-prototype LiDAR'. The preliminary results indicate that there is no reason to not use 1550 nm wavelength, which due to eye safety regulations gives an opportunity to use 20 times more power compared to the traditional 905 nm. In order to clarify the expected benefits, additional feasibility studies are still needed.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages1695-1701
Number of pages7
ISBN (Electronic)978-1-7281-0323-5, 978-1-7281-0322-8
ISBN (Print)978-1-7281-0321-1
DOIs
Publication statusPublished - 10 Dec 2018
MoE publication typeNot Eligible
Event21st International Conference on Intelligent Transportation Systems, ITSC - Maui, United States
Duration: 4 Nov 20187 Nov 2018
Conference number: 21

Publication series

Name
ISSN (Print)2153-0017
ISSN (Electronic)2153-0017

Conference

Conference21st International Conference on Intelligent Transportation Systems, ITSC
Abbreviated titleITSC 2018
CountryUnited States
CityMaui
Period4/11/187/11/18

Fingerprint

Fog
Rain
Wavelength
Target tracking
Visibility
Railroad cars
Testing

Keywords

  • LiDAR
  • Automated driving
  • environment perception
  • fog
  • rain penetration

Cite this

Kutila, M., Pyykönen, P., Holzhüter, H., Colomb, M., & Duthon, P. (2018). Automotive LiDAR performance verification in fog and rain. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018 (pp. 1695-1701). [8569624] Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ITSC.2018.8569624
Kutila, Matti ; Pyykönen, Pasi ; Holzhüter, Hanno ; Colomb, Michel ; Duthon, Pierre. / Automotive LiDAR performance verification in fog and rain. 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronic Engineers IEEE, 2018. pp. 1695-1701
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Kutila, M, Pyykönen, P, Holzhüter, H, Colomb, M & Duthon, P 2018, Automotive LiDAR performance verification in fog and rain. in 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018., 8569624, Institute of Electrical and Electronic Engineers IEEE, pp. 1695-1701, 21st International Conference on Intelligent Transportation Systems, ITSC, Maui, United States, 4/11/18. https://doi.org/10.1109/ITSC.2018.8569624

Automotive LiDAR performance verification in fog and rain. / Kutila, Matti; Pyykönen, Pasi; Holzhüter, Hanno; Colomb, Michel; Duthon, Pierre.

2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronic Engineers IEEE, 2018. p. 1695-1701 8569624.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Kutila M, Pyykönen P, Holzhüter H, Colomb M, Duthon P. Automotive LiDAR performance verification in fog and rain. In 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronic Engineers IEEE. 2018. p. 1695-1701. 8569624 https://doi.org/10.1109/ITSC.2018.8569624