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This paper describes autonomous vehicle and driver assistance research beginning with the 1997 National Automated Highway System Consortium Demonstration. As a microcosm of the community at large we discuss how Carnegie Mellon autonomous vehicle research has progressed in the last decade. Since the demonstration we have formed two companies: AssistWare became a leading developer of lane departure...
The fusion of data from different sensorial sources is today the most promising method to increase robustness and reliability of environmental perception. Automotive safety systems like ldquoadaptive cruise controlrdquo (ACC) and ldquolane change assistrdquo are nowadays dealing with the detection of vehicles on the road. New sensors like 3-dimensional measuring multilayer laser scanner systems will...
In this paper, we introduce the novel synthetic aperture secondary (SAS) radar positioning technique for the localization of a vehicle. The SAS technique is based on a frequency-modulated continuous wave (FMCW) secondary radar concept where the interrogating radar signal is reflected coherently by a backscatter transponder. It will be shown that SAS positioning is a very efficient way to combine the...
We propose an object classification system that incorporates information from a video camera and a long-range radar system. Our system operates in two steps. The first step is attention selection, in which the radar guides a selection of a small number of candidate images for analysis by the camera. In the second step, a multiple layer in-place learning network (MILN) is used to distinguish images...
This paper presents the evaluation of a low-frequency forward scattering radar (FSR) network for the classification of ground targets. The experimental results of automatic targets classification for different operational frequencies are presented and discussed. The possibility of target recognition is shown for system operating frequencies in the VHF band.
InVeTraS (intelligent vehicular transportation system) is proposed as a vehicle-to-vehicle (V2V) anti-collision mechanism that determines, estimates and absolves collision courses between two or more vehicles based on a correlative and cooperative wireless networking concept. The problem of collision avoidance is abstracted to the generic problem of location awareness and subsequent periodic information...
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