Polarimetric road condition classification and data visualisation

Author

Finkele, R. ; Schreck, A. ; Wanielik, G.

Author_Institution

Res. & Dev., Daimler-Benz AG, Ulm, Germany

Volume

3

fYear

34881

fDate

10-14 Jul1995

Firstpage

1786

Abstract

The automobile industry has been continuously involved in efforts to improve driving conditions and comfort. Therefore Daimler Benz is interested in finding new techniques to monitor the road traffic conditions in order to make the information available for other electronic on-board systems. For this purpose a full polarimetric, incoherent microwave radar system for Mueller-matrix measurements was designed. It works at 76 GHz, employing 5 Impatt oscillators and 7 Shottky detectors. Special software tools for classification and visualisation of the acquired data has been developed. The paper introduces this system and describes its functionality as well as the concept of the data processing software. Measurement results are shown

Keywords

automotive electronics; data visualisation; feature extraction; image classification; millimetre wave imaging; radar computing; radar equipment; radar imaging; radar polarimetry; 76 GHz; Daimler Benz; EHF; Impatt oscillator; Mueller-matrix; Shottky detector; automobile electronics; car; data processing software; data visualisation; incoherent microwave radar system; millimetric radar; mm wave; radar image classification; radar polarimetry; road condition classification; road surface conditions; short range radar; Automobiles; Condition monitoring; Data visualization; Detectors; Microwave measurements; Microwave oscillators; Radar detection; Radar measurements; Radar polarimetry; Roads;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.524026

Filename

524026