DocumentCode :
1908087
Title :
Pedestrian classification with 24 GHz chirp sequence radar
Author :
Sorowka, Peter ; Rohling, Hermann
Author_Institution :
Inst. of Telecommun., Hamburg, Germany
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
167
Lastpage :
173
Abstract :
Driver assistance systems based on radar are available today in series production in consumer vehicles. The radar sensor based automotive applications already help to reduce road accidents but is usually limited to highway scenarios. However, there are too many fatalities in public roads. Most of them involve pedestrians and happen in urban road situations. For assisting drivers in those cases, a novel 24 GHz Radar Sensor has been developed within the EU-funded project ARTRAC. The main focus of this paper is to present the pedestrian classification scheme that is incorporated within this sensor. Additionally, the derived requirements and the role of the classification process within the cognitive collision mitigation system is pointed out.
Keywords :
driver information systems; pedestrians; radar signal processing; road vehicle radar; signal classification; ARTRAC; EU-funded project; chirp sequence radar; cognitive collision mitigation system; driver assistance systems; frequency 24 GHz; pedestrian classification scheme; radar sensor based automotive applications; Chirp; Legged locomotion; Radar cross-sections; Roads; Signal resolution; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/IRS.2015.7226392
Filename :
7226392
Link To Document :
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