Description: FMCW radar:
—Intelligent driver assistance systems have become important in the automotive industry. One key element of such systems is a smart user interface that tracks and recognizes drivers’ hand gestures. Hand gesture sensing using traditional computer vision techniques is challenging because of wide vari-
ations in lighting conditions, e.g. inside a car. A short-range radar device can provide additional information, including the
location and instantaneous radial velocity of moving objects. We
describe a novel end-to-end (hardware, interface, and software)
short-range FMCW radar-based system designed to effectively
sense dynamic hand gestures. We provide an effective method
for selecting the parameters of the FMCW waveform and for
jointly calibrating the radar system with a depth sensor. Finally,
we demonstrate that our system guarantees reliable and robust
performance.
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File list (Check if you may need any files):
(important)fmcw_radar15.pdf
(important)DriverHandGestureFG2015.pdf
(important)S5599-Shalini-Gupta.pdf
(important)S5599-Shalini-Gupta-1.pdf
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