Simulation of Automotive Radar Target Lists using a Novel Approach of Object Representation

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...

Full description

Saved in:
Bibliographic Details
Published in2006 IEEE Intelligent Vehicles Symposium pp. 314 - 319
Main Authors Buhren, M., Bin Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Adaptive control
Automotive applications
Automotive engineering
Programmable control
Radar applications
Radar signal processing
Radar tracking
Signal processing algorithms
Target tracking
Testing
Online AccessGet full text
ISBN490112286X
9784901122863
ISSN1931-0587
DOI10.1109/IVS.2006.1689647

Cover

More Information
Summary: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
ISBN:490112286X
9784901122863
ISSN:1931-0587
DOI:10.1109/IVS.2006.1689647