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Item type:Publication, Access status: without files , Objectives of the ARTRAC initiative in active pedestrian safety(Cuvillier, 2013-05); ; ; ; Vehicular safety is an important objective in several research activities for more than 40 years. Additionally, the protection of pedestrians becomes an increasing interest in the recent decades. Therefore, this paper deals with innovative driver assistance systems based on radar sensors for cars. Detection and classification of vulnerable road users, such as pedestrians, are the main topic of the EU funded ARTRAC project. In addition to this, precise road surface condition detection and surface friction estimation using radar sensors belong to further system objectives. © 2013 German Inst of Navigation.Publicationtype: Conference Paper43 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Pedestrian recognition in automotive radar sensorsAutomotive radar sensors in the 24 GHz frequency domain measure target range and Doppler frequency simultaneously even in multiple target situations. The all weather capability of radar sensors is an important argument for their application in modern cars and in driver assistant systems. The measurement accuracy and target resolution depends on the applied waveform. Therefore the Multi Frequency Shift Keying (MFSK) and the Chirp Sequence waveform will be considered and compared in this paper. The classical radar sensor measures target range, radial velocity and azimuth angle. Additionally the radar sensor should be able to distinguish between different objects like pedestrians and cars in automotive applications. In this case the target recognition quality depends mainly on the signal-to-noise ratio (SNR), the signal features and their measurement accuracy, respectively. In this paper the quality of the target recognition process will be quantitatively measured and compared for two different radar waveforms. © 2013 German Inst of Navigation.Publicationtype: Conference Paper31 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Two-stage pedestrian classification in automotive radar systemsRoad and city traffic is dangerous for all car drivers and especially for pedestrians. Latest accident statistics [1] show that in 25% of all accidents pedestrians are involved. It is therefore important to protect especially those vulnerable traffic participants, e.g. by acoustic alarm signals or outside airbags, in case of an unavoidable accident. 24 GHz radar sensors with their all-weather capability are already in use in vehicles, and have great advantages compared with other automotive sensor systems. It has been described in [2], how the Doppler spectrum and the range profile are analyzed in a target recognition system for pedestrian detection. To increase the probability of correct classification, additional signal features have to be used. Also, a very fast target recognition system is required to respond and react quickly in dangerous situations. This paper is focused on a two-stage target classification system. Initially, the Doppler spectrum and range profile are extracted from the radar echo signal and applied in the recognition system. In a second step, additional features are calculated from the tracker which are fed back to the target recognition system to improve the system performance and to increase the probability of correct classification. © 2011 DGON.Publicationtype: Conference Paper21