Automotive LIDAR sensor development scenarios for harsh weather conditions

Matti Kutila, Pasi Pyykönen, Werner Ritter, Oliver Sawade, Bernd Schäufele

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

12 Citations (Scopus)

Abstract

This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<;1000 €) even if more expensive optical and electronic components are needed. The objective of this article is to review the existing automotive laser scanners and their capabilities to pave the way for developing new scanner prototypes, which are more capable in harsh weather conditions. Testing of scanner capabilities has been conducted in the northern part of the Finland, at Sodankylä Airport, where fog creates a special problem. The scanner has been installed in the airport area for data gathering and analyzes if fog, snow or rain are visible in the scanner data. The results indicate that these conditions degrade sensor performance by 25%, and therefore, future work in software module development should take this into account with in-vehicle system performance estimations concerning the visual range of the scanner. This allows the vehicle to adapt speed, braking distance and stability control systems accordingly.
Original languageEnglish
Title of host publicationIntelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages265-270
ISBN (Electronic)978-1-5090-1889-5, 978-1-5090-1888-8
ISBN (Print)978-1-5090-1890-1
DOIs
Publication statusPublished - 26 Dec 2016
MoE publication typeA4 Article in a conference publication
Event19th IEEE International Conference on Intelligent Transportation Systems - Convention Center, Windsor Oceanico Hotel, Rio de Janeiro, Brazil
Duration: 1 Apr 20164 Apr 2016
Conference number: 19

Publication series

Name
ISSN (Print)2153-0017

Conference

Conference19th IEEE International Conference on Intelligent Transportation Systems
Abbreviated titleITSC 2016
CountryBrazil
CityRio de Janeiro
Period1/04/164/04/16

Fingerprint

Fog
Airports
Rain
Sensors
Control system stability
Lasers
Snow
Braking
Railroad cars
Testing
Costs

Keywords

  • fog
  • intelligent systems
  • intelligent vehicle highway systems
  • laser applications
  • meteorology
  • rain
  • scanning
  • transportation braking distance
  • electronic component
  • in-vehicle systems
  • performance estimation
  • performance level
  • sensor performance
  • software modules
  • stability control systems

Cite this

Kutila, M., Pyykönen, P., Ritter, W., Sawade, O., & Schäufele, B. (2016). Automotive LIDAR sensor development scenarios for harsh weather conditions. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on (pp. 265-270). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ITSC.2016.7795565
Kutila, Matti ; Pyykönen, Pasi ; Ritter, Werner ; Sawade, Oliver ; Schäufele, Bernd. / Automotive LIDAR sensor development scenarios for harsh weather conditions. Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on . Institute of Electrical and Electronic Engineers IEEE, 2016. pp. 265-270
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title = "Automotive LIDAR sensor development scenarios for harsh weather conditions",
abstract = "This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<;1000 €) even if more expensive optical and electronic components are needed. The objective of this article is to review the existing automotive laser scanners and their capabilities to pave the way for developing new scanner prototypes, which are more capable in harsh weather conditions. Testing of scanner capabilities has been conducted in the northern part of the Finland, at Sodankylä Airport, where fog creates a special problem. The scanner has been installed in the airport area for data gathering and analyzes if fog, snow or rain are visible in the scanner data. The results indicate that these conditions degrade sensor performance by 25{\%}, and therefore, future work in software module development should take this into account with in-vehicle system performance estimations concerning the visual range of the scanner. This allows the vehicle to adapt speed, braking distance and stability control systems accordingly.",
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Kutila, M, Pyykönen, P, Ritter, W, Sawade, O & Schäufele, B 2016, Automotive LIDAR sensor development scenarios for harsh weather conditions. in Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on . Institute of Electrical and Electronic Engineers IEEE, pp. 265-270, 19th IEEE International Conference on Intelligent Transportation Systems, Rio de Janeiro, Brazil, 1/04/16. https://doi.org/10.1109/ITSC.2016.7795565

Automotive LIDAR sensor development scenarios for harsh weather conditions. / Kutila, Matti; Pyykönen, Pasi; Ritter, Werner; Sawade, Oliver; Schäufele, Bernd.

Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on . Institute of Electrical and Electronic Engineers IEEE, 2016. p. 265-270.

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

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N2 - This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<;1000 €) even if more expensive optical and electronic components are needed. The objective of this article is to review the existing automotive laser scanners and their capabilities to pave the way for developing new scanner prototypes, which are more capable in harsh weather conditions. Testing of scanner capabilities has been conducted in the northern part of the Finland, at Sodankylä Airport, where fog creates a special problem. The scanner has been installed in the airport area for data gathering and analyzes if fog, snow or rain are visible in the scanner data. The results indicate that these conditions degrade sensor performance by 25%, and therefore, future work in software module development should take this into account with in-vehicle system performance estimations concerning the visual range of the scanner. This allows the vehicle to adapt speed, braking distance and stability control systems accordingly.

AB - This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<;1000 €) even if more expensive optical and electronic components are needed. The objective of this article is to review the existing automotive laser scanners and their capabilities to pave the way for developing new scanner prototypes, which are more capable in harsh weather conditions. Testing of scanner capabilities has been conducted in the northern part of the Finland, at Sodankylä Airport, where fog creates a special problem. The scanner has been installed in the airport area for data gathering and analyzes if fog, snow or rain are visible in the scanner data. The results indicate that these conditions degrade sensor performance by 25%, and therefore, future work in software module development should take this into account with in-vehicle system performance estimations concerning the visual range of the scanner. This allows the vehicle to adapt speed, braking distance and stability control systems accordingly.

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PB - Institute of Electrical and Electronic Engineers IEEE

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Kutila M, Pyykönen P, Ritter W, Sawade O, Schäufele B. Automotive LIDAR sensor development scenarios for harsh weather conditions. In Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on . Institute of Electrical and Electronic Engineers IEEE. 2016. p. 265-270 https://doi.org/10.1109/ITSC.2016.7795565