Title :
Polarimetric road condition classification and data visualisation
Author :
Finkele, R. ; Schreck, A. ; Wanielik, G.
Author_Institution :
Res. & Dev., Daimler-Benz AG, Ulm, Germany
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;
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
DOI :
10.1109/IGARSS.1995.524026
