Automotive LIDAR sensor development scenarios for harsh weather conditions

S.265-270 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: maxi...

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Published in:2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
Main Authors: Kuttila, Matti, Pyykönen, Pasi, Ritter, Werner, Sawade, Oliver, Schäufele, Bernd
Format: Conference Object
Language:English
Published: 2016
Subjects:
004
Online Access:https://publica.fraunhofer.de/handle/publica/394436
https://doi.org/10.1109/ITSC.2016.7795565
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spelling ftfrauneprints:oai:publica.fraunhofer.de:publica/394436 2023-08-20T04:09:48+02:00 Automotive LIDAR sensor development scenarios for harsh weather conditions Kuttila, Matti Pyykönen, Pasi Ritter, Werner Sawade, Oliver Schäufele, Bernd 2016 application/pdf https://publica.fraunhofer.de/handle/publica/394436 https://doi.org/10.1109/ITSC.2016.7795565 en eng International Conference on Intelligent Transportation Systems (ITSC) 2016 10.1109/ITSC.2016.7795565 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016 RobustSENSE 661933 doi:10.1109/ITSC.2016.7795565 https://publica.fraunhofer.de/handle/publica/394436 © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. 004 conference paper 2016 ftfrauneprints https://doi.org/10.1109/ITSC.2016.7795565 2023-07-30T23:46:18Z S.265-270 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 e) 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. Conference Object Sodankylä Publikationsdatenbank der Fraunhofer-Gesellschaft Sodankylä ENVELOPE(26.600,26.600,67.417,67.417) 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) 265 270
institution Open Polar
collection Publikationsdatenbank der Fraunhofer-Gesellschaft
op_collection_id ftfrauneprints
language English
topic 004
spellingShingle 004
Kuttila, Matti
Pyykönen, Pasi
Ritter, Werner
Sawade, Oliver
Schäufele, Bernd
Automotive LIDAR sensor development scenarios for harsh weather conditions
topic_facet 004
description S.265-270 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 e) 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.
format Conference Object
author Kuttila, Matti
Pyykönen, Pasi
Ritter, Werner
Sawade, Oliver
Schäufele, Bernd
author_facet Kuttila, Matti
Pyykönen, Pasi
Ritter, Werner
Sawade, Oliver
Schäufele, Bernd
author_sort Kuttila, Matti
title Automotive LIDAR sensor development scenarios for harsh weather conditions
title_short Automotive LIDAR sensor development scenarios for harsh weather conditions
title_full Automotive LIDAR sensor development scenarios for harsh weather conditions
title_fullStr Automotive LIDAR sensor development scenarios for harsh weather conditions
title_full_unstemmed Automotive LIDAR sensor development scenarios for harsh weather conditions
title_sort automotive lidar sensor development scenarios for harsh weather conditions
publishDate 2016
url https://publica.fraunhofer.de/handle/publica/394436
https://doi.org/10.1109/ITSC.2016.7795565
long_lat ENVELOPE(26.600,26.600,67.417,67.417)
geographic Sodankylä
geographic_facet Sodankylä
genre Sodankylä
genre_facet Sodankylä
op_relation International Conference on Intelligent Transportation Systems (ITSC) 2016
10.1109/ITSC.2016.7795565
IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
RobustSENSE
661933
doi:10.1109/ITSC.2016.7795565
https://publica.fraunhofer.de/handle/publica/394436
op_rights © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
op_doi https://doi.org/10.1109/ITSC.2016.7795565
container_title 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
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