Target classification based on near-distance radar sensors

Author

Kruse, Frank ; Fölster, Florian ; Ahrholdt, Malte ; Rohling, Hermann ; Meinecke, Marc-Michael ; To, Thanh-Binh

Author_Institution

Dept. of Telecommun., Tech. Univ. of Hamburg-Harburg, Hamburg, Germany

fYear

2004

fDate

14-17 June 2004

Firstpage

722

Lastpage

727

Abstract

Automotive radar systems offer the capability to measure very accurately target range, relative velocity, and azimuth angle of all objects inside the observation area. For future automotive applications like pedestrian safety systems, collision warning, turning-off and lane-changing assistance it will be necessary to have more detailed information about the target type. Therefore, a target classification technique, which is purely based on the range profile measured by a near-distance radar sensor, is presented in this paper.

Keywords

angular measurement; automobiles; distance measurement; feature extraction; image classification; image sensors; object recognition; probability; radar tracking; road safety; road vehicle radar; target tracking; velocity measurement; automotive applications; automotive radar systems; azimuth angle measurement; collision warning; lane-changing assistance; near-distance radar sensors; pedestrian safety systems; probability; relative velocity measurement; target classification; target range measurement; turning-off assistance; Automotive applications; Automotive engineering; Azimuth; Object detection; Radar applications; Radar detection; Radar measurements; Sensor systems; Vehicle safety; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2004 IEEE

Print_ISBN

0-7803-8310-9

Type

conf

DOI

10.1109/IVS.2004.1336473

Filename

1336473