Traffic congestion is a severe problem on European freeways. According to a study of the European Commission, its impact will increase even up to 10 % in the year 2010. Since building new infrastructure is no longer an appropriate option in most (Western) countries, there are many approaches towards a more effective road usage and a more 'intelligent' way of increasing the capacity of the road network. Examples of advanced traffic control systems are, e.g., 'intelligent' speed limits, adaptive ramp metering, or dynamic routing. This paper focuses on a proposal of a vehicle acoustic imaging that allows driver to recognize obstacles and other cars around him in a safe way. The proposed front end electronic and sensing system are included in a specific architecture supervised by a microcontroller. The used algorithm for gathering data belongs to LCMV and LCMP beamforming methods.
Implementation and characterization of a novel acoustic imaging through beamformers for automotive applications
Smart Sensors and Sensing Technology, ICST, International Conference on Sensing Technology, 2 ; 343-359
2008
17 Seiten, 21 Bilder, 16 Quellen
Aufsatz (Konferenz)
Englisch
Robust Capon Beamformers for Wideband Acoustic Imaging
AIAA | 2003
|Design and Implementation of Near-Field, Wideband Synthetic Aperture Beamformers
Online Contents | 2004
|Postfiltering in Digital Beamformers
IEEE | 1976
|High Capacity Optical Interconnects for Phased Array Beamformers
British Library Online Contents | 1995
|