Leverages 20 years of autonomous vehicle research and low-power CVflow™
SANTA CLARA, Calif.--(BUSINESS WIRE)--Mar. 28, 2018--
Ambarella, Inc. (NASDAQ:AMBA) a leading developer of low-power, HD and
Ultra HD video processing semiconductors, today announced it is
demonstrating its fully autonomous EVA (Embedded Vehicle Autonomy)
vehicle on Silicon Valley roads to industry analysts and customers. EVA
has been trained to deal with the various traffic scenarios presented by
Silicon Valley’s challenging urban environment. The fully autonomous car
combines software and algorithms based on over 20 years of autonomous
vehicle research with Ambarella’s low-power CV1 embedded computer vision
processors based on its CVflow architecture. EVA’s high-resolution
stereovision cameras deliver the 360-degree short and long distance
viewing capability required for advanced perception and precise
self-location. EVA includes sensor fusion of the vision information with
Radar and map data to provide the information necessary for path
planning and merging maneuvers without the need for additional LiDAR
“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 Alberto Broggi, General Manager of Ambarella Italy.
“Moving to an implementation based on dedicated Ambarella CVflow
processors brings us much closer to making self-driving cars a practical
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 CNN
classification for vehicle, pedestrian, and bicycle/motorcycle.
Ambarella also announced today its next generation CV2 computer vision
processor, which will provide up to 20 times the computer vision
performance of CV1 in a fully-integrated SoC, delivering higher
perception accuracy and further reducing the total number of chips
required for a fully autonomous vehicle.
The URL for this news release is www.ambarella.com/about/news-events.html
URL for the related image is https://ambarella.com/about/news-events/press-images/EVA-press-image
Ambarella, Inc. (NASDAQ: AMBA), is a leading developer of low-power,
high-definition (HD) and Ultra HD video compression, image processing
and computer vision solutions. The company’s products are used in a
variety of IP security, sports, wearable, drone and automotive video
cameras. Ambarella’s solutions leverage over 20 years of pioneering
research in computer vision to enable future generations of intelligent
cameras, Advanced Driver Assistance Systems and autonomous vehicles. For
more information about Ambarella, please visit www.ambarella.com.
All brand names, product names, or trademarks belong to their respective
holders. Ambarella reserves the right to alter product and service
offerings, specifications and pricing at any time without notice. © 2018
Ambarella. All rights reserved.
View source version on businesswire.com: https://www.businesswire.com/news/home/20180328005012/en/
Source: Ambarella, Inc.
Valley Public Relations
Deborah Stapleton, +1 650-815-1239