DocumentCode :
2486316
Title :
Simulation of Automotive Radar Target Lists using a Novel Approach of Object Representation
Author :
Bühren, Markus ; Yang, Bin
Author_Institution :
Chair of Syst. Theor. & Signal Process., Stuttgart Univ.
fYear :
0
fDate :
0-0 0
Firstpage :
314
Lastpage :
319
Abstract :
The development of radar signal processing algorithms for target tracking and higher-level automotive applications is mainly done based on real radar data. A data basis has to be acquired during cost-expensive and time-consuming test runs. For a comparably simple application like the adaptive cruise control (ACC), the variety of significant traffic situations can sufficiently be covered by test runs. But for more advanced applications like intersection assistance, the effort for the acquisition of a representative set of radar data will be unbearable. In this paper, we propose a way of simulating radar target lists in a realistic but computationally undemanding way, which will allow to significantly reduce the amount of real radar data needed
Keywords :
adaptive control; object recognition; radar signal processing; road vehicle radar; target tracking; adaptive cruise control; automotive application; automotive radar target; object representation; radar signal processing; target tracking; Adaptive control; Automotive applications; Automotive engineering; Programmable control; Radar applications; Radar signal processing; Radar tracking; Signal processing algorithms; Target tracking; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2006 IEEE
Conference_Location :
Tokyo
Print_ISBN :
4-901122-86-X
Type :
conf
DOI :
10.1109/IVS.2006.1689647
Filename :
1689647
Link To Document :
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