Abstract
| Original language | English |
|---|---|
| Title of host publication | Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 265-270 |
| ISBN (Electronic) | 978-1-5090-1889-5, 978-1-5090-1888-8 |
| ISBN (Print) | 978-1-5090-1890-1 |
| DOIs | |
| Publication status | Published - 26 Dec 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | 19th IEEE International Conference on Intelligent Transportation Systems - Convention Center, Windsor Oceanico Hotel, Rio de Janeiro, Brazil Duration: 1 Apr 2016 → 4 Apr 2016 Conference number: 19 |
Conference
| Conference | 19th IEEE International Conference on Intelligent Transportation Systems |
|---|---|
| Abbreviated title | ITSC 2016 |
| Country | Brazil |
| City | Rio de Janeiro |
| Period | 1/04/16 → 4/04/16 |
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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
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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 proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Automotive LIDAR sensor development scenarios for harsh weather conditions
AU - Kutila, Matti
AU - Pyykönen, Pasi
AU - Ritter, Werner
AU - Sawade, Oliver
AU - Schäufele, Bernd
PY - 2016/12/26
Y1 - 2016/12/26
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.
KW - fog
KW - intelligent systems
KW - intelligent vehicle highway systems
KW - laser applications
KW - meteorology
KW - rain
KW - scanning
KW - transportation braking distance
KW - electronic component
KW - in-vehicle systems
KW - performance estimation
KW - performance level
KW - sensor performance
KW - software modules
KW - stability control systems
U2 - 10.1109/ITSC.2016.7795565
DO - 10.1109/ITSC.2016.7795565
M3 - Conference article in proceedings
SN - 978-1-5090-1890-1
SP - 265
EP - 270
BT - Intelligent Transportation Systems (ITSC), 2016 IEEE 19th International Conference on
PB - IEEE Institute of Electrical and Electronic Engineers
ER -