NDLI: Numerical modeling of ADA system for vulnerable road users protection based on radar and vision sensing

Content Provider	IEEE Xplore Digital Library
Author	Garate, V.R. Bours, R. Kietlinski, K.
Copyright Year	2012
Description	Author affiliation: TNO Automotive Safety Solutions, Einsteinlaan 6, 2289CC, The Netherlands (Bours, R.) \|\| TASS Germany GmbH, Kreuzberger Ring 7a, 65205 Wiesbaden, Germany (Kietlinski, K.) \|\| Centre for Research in Mechatronics, Université Catholique de Louvain, Bâtiment Stevin, bte L5.04.02, Place du Levant 2, B-1348 Louvain-la-Neuve, Belgium (Garate, V.R.)
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.
Starting Page	1150
Ending Page	1155
File Size	1173510
Page Count	6
File Format	PDF
ISBN	9781467321198
ISSN	19310587
e-ISBN	9781467321181
DOI	10.1109/IVS.2012.6232273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-03
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Radar detection Radar imaging Cameras Roads Vehicle crash testing
Content Type	Text
Resource Type	Article

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