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

    14 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
    PublisherIEEE Institute of Electrical and Electronic Engineers
    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

    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). IEEE Institute of Electrical and Electronic Engineers . 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 . IEEE Institute of Electrical and Electronic Engineers , 2016. pp. 265-270
    @inproceedings{22af3d9970024adfa66ee91fd70e9041,
    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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    author = "Matti Kutila and Pasi Pyyk{\"o}nen and Werner Ritter and Oliver Sawade and Bernd Sch{\"a}ufele",
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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 . IEEE Institute of Electrical and Electronic Engineers , 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 . IEEE Institute of Electrical and Electronic Engineers , 2016. p. 265-270.

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

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    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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    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 . IEEE Institute of Electrical and Electronic Engineers . 2016. p. 265-270 https://doi.org/10.1109/ITSC.2016.7795565