NDLI: Radar target stimulation for automotive applications

Content Provider	IET Digital Library
Author	Gadringer, Michael Ernst Maier, Franz Michael Schreiber, Helmut Makkapati, Vamsi Prakash Gruber, Andreas Vorderderfler, Michael Amschl, Dominik Metzner, Steffen Pflügl, Horst Bösch, Wolfgang Horn, Martin Paulweber, Michael
Abstract	Automated driving is seen as one of the key technologies that influences and shapes our future mobility. Modern advanced driver assistance systems (ADAS) play a vital role towards achieving this goal of automated driving. Depending on the level of automation, the ADAS takes over the complete or partial control of the movement of the car. Hence, it is mandatory that the system reacts reproducibly and safely in a wide range of possible situations. Especially in complex and potentially dangerous traffic scenarios a test system with the ability to simulate realistic scenarios is required. The authors present an implementation of a vehicle-in-the-loop (ViL) test system which accomplishes these goals in a defined environment. Of the great plenty of sensors stimulated in this context, the radar sensor takes a special position due to its robust and comprehensive information perceiving capability. Stimulating the automotive radar sensor in a ViL environment requires supporting the complex movements of the considered traffic scenarios. For this task, a modular and highly scalable radar target stimulator is necessary, which is capable of stimulating multiple independent moving targets with realistic parameters. The authors are discussing the underlying concepts of the suggested solution and are presenting its performance.
Starting Page	1096
Ending Page	1103
Page Count	8
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 10, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5126
Journal	IET Radar, Sonar & Navigation
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-01
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	ADAS Automated Driving Automotive Application Automotive Radar Sensor Complete Control Complex Movements Complex Traffic Scenarios Comprehensive Information Perceiving Capability Computer Vision And Image Processing Technique Considered Traffic Scenarios Defined Environment Driver Assistance System Driver Information System Highly Scalable Radar Target Stimulator Influences Modular Radar Target Stimulator Multiple Independent Moving Targets Optical, Image And Video Signal Processing Partial Control Possible Situations Potentially Dangerous Traffic Scenario Radar Equipment Radar Target Stimulation Realistic Scenario Road Accidents Road Safety Road Traffic Road Vehicle Radar Robust Information Perceiving Capability Shapes Our Future Mobility System And Application Telecommunication Traffic Vehicle-in-the-loop Test System ViL Environment
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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