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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automotive LIDAR sensor development scenarios for harsh weather conditions


    Contributors:


    Publication date :

    2016-11-01


    Size :

    1087644 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A flow sensor for harsh environmental automotive applications

    Schmid, U. / Krötz, G. / Öing, H. et al. | Tema Archive | 2001


    Weather Influence and Classification with Automotive Lidar Sensors

    Heinzler, Robin / Schindler, Philipp / Seekircher, Jurgen et al. | IEEE | 2019


    WEATHER INFLUENCE AND CLASSIFICATION WITH AUTOMOTIVE LIDAR SENSORS

    Heinzler, Robin / Schindler, Philipp / Seekircher, Jürgen et al. | British Library Conference Proceedings | 2019


    Survey on LiDAR Perception in Adverse Weather Conditions

    Dreissig, Mariella / Scheuble, Dominik / Piewak, Florian et al. | IEEE | 2023


    Benchmarking Automotive LiDAR Performance in Arctic Conditions

    Kutila, Matti / Pyykonen, Pasi / Jokela, Maria et al. | IEEE | 2020