DocumentCode :
2517846
Title :
Numerical modeling of ADA system for vulnerable road users protection based on radar and vision sensing
Author :
Garate, Virginia Ruiz ; Bours, Roy ; Kietlinski, Kajetan
Author_Institution :
TASS Germany GmbH, Wiesbaden, Germany
fYear :
2012
fDate :
3-7 June 2012
Firstpage :
1150
Lastpage :
1155
Abstract :
The protection of vulnerable road users (VRU) remains one of the most challenging problems for our society and several governmental and consumer organization has set targets to reduce the VRU fatality and injury rates. The automotive industry is, therefore, developing pedestrian and cyclist detection systems that combine pre-crash sensing, risk estimation and vehicle dynamics control (braking, steering) with the objective to meet the challenging VRU accident reduction targets set by various governments. The complexity of VRU detection makes the development process of these systems a complicated and time-consuming activity. Simulation software can help to overcome these difficulties by providing an efficient and safe environment for designing and evaluating VRU safety systems. This paper outlines the use of a software packages that provide the ability to cover all critical aspects of VRU safety design. It focuses on the sensing and control systems, as well as the evaluation of these systems for a range of different traffic scenarios. The presented system model uses fused information from radar model for collision estimation and vision sensor model for object classification, to deploy autonomous braking and thus mitigate the effect of collision with VRUs.
Keywords :
braking; control engineering computing; digital simulation; image classification; image sensors; object detection; pedestrians; radar imaging; risk management; road accidents; road safety; software packages; vehicle dynamics; ADA system; VRU accident reduction; VRU fatality; VRU injury rates; VRU safety design; automotive industry; autonomous braking; collision estimation; cyclist detection systems; numerical modeling; object classification; pedestrian detection systems; precrash sensing; radar model; risk estimation; simulation software; software packages; vehicle dynamics control; vision sensing; vision sensor model; vulnerable road users protection; Cameras; Radar detection; Radar imaging; Roads; Vehicle crash testing; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2012 IEEE
Conference_Location :
Alcala de Henares
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2119-8
Type :
conf
DOI :
10.1109/IVS.2012.6232273
Filename :
6232273
Link To Document :
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