Ambarella Demonstrates Its Fully Autonomous Vehicle on Silicon Valley Roads
Leverages 20 years of autonomous vehicle research and low-power CVflow™ embedded processors
“High resolution 8-Megapixel stereovision combined with superior
perception in challenging lighting conditions allows EVA to “see” its
surroundings with much higher reliability than was previously possible,”
said Professor
EVA’s CV1-based stereovision cameras provide a perception range of over
150 meters for stereo obstacle detection and over 180 meters for
monocular classification. Stereovision processing enables detection of
generic obstacles without training, allowing more robust decisions to be
made. EVA also uses stereovision to recognize visual landmarks and uses
HD map information for high precision localization, even when the GPS
signal is weak or not available, for example in dense urban locations.
EVA features include automatic calibration, stereo generic obstacle
detection, terrain modeling, traffic light detection, 3D free space
detection, lane detection, curb and barrier detection, and
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Ambarella Contact:
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Contact:
Valley Public Relations
Molly McCarthy
mmcarthy@ambarella.com
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Relations Contact:
Deborah Stapleton, +1 650-815-1239
deb@stapleton.com