DocumentCode :
1662999
Title :
Radar obstacle detection: finding moving targets in noisy range data
Author :
Siegel, Mel ; MacLachlan, Rob
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
145
Abstract :
Short-range (∼2-7 meter) integrated radar units in the 24 GHz (wavelength 1.2 cm) regime are now available as production prototypes, and are soon expected to be very inexpensively available to large commercial users (e.g., automobile manufacturers). We recently had an opportunity to examine the applicability of several pilot units as potential components in a "situational awareness" sensor suite for automobiles in urban traffic. The system goal is to detect, distinguish, and appropriately respond to nearby vehicles (cars, bicycles, etc.), life forms (pedestrians, dogs, etc.), and movable and fired features of the environment (trash cans, lamp posts, etc.). The question is whether the first generation radar prototypes, with all the warts typical of pioneering technologies, are nevertheless useful complements to an existing system that employs relatively mature sensor technologies, e.g., panoramic video analysis, stereo image analysis, laser rangefinding, ultrasonic range finding, integrated by an existing and reasonably well developed sensor fusion architecture. Our answer, based on a few experiments with three prototype units arranged in two geometries, is a definite maybe.
Keywords :
collision avoidance; feature extraction; object detection; radar detection; radar signal processing; road vehicle radar; sensor fusion; 1.2 cm; 2 to 7 m; 24 GHz; automobiles; collision avoidance radar; first generation radar prototypes; moving targets; noisy range data; radar feature detection; radar obstacle detection; sensor fusion architecture; short-range integrated radar units; situational awareness sensor suite; urban traffic; vehicle detection; Automobile manufacture; Bicycles; Image analysis; Laser radar; Production; Prototypes; Radar detection; Sensor fusion; Vehicle detection; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-7218-2
Type :
conf
DOI :
10.1109/IMTC.2002.1006831
Filename :
1006831
Link To Document :
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