Renesas Electronics Delivers R-Car V3H System-On-Chip for Automotive Front Cameras in Level 3 and Level 4 Autonomous Vehicles
2018年2月27日 - 10:00PM
ビジネスワイヤ(英語)
Enables AI Processing Required for Automotive
Front Cameras with CNN IP at Industry-Leading Low Power Levels
With the rapid enhancement of advanced driving assistance
systems (ADAS) and automated driving technologies,
autonomous-driving vehicles are becoming a reality. Renesas
Electronics Corporation (TSE: 6723), an industry-leading supplier
of automotive semiconductor solutions, today announced its new
R-Car V3H system-on-chip (SoC) that delivers high computer vision
performance and AI processing at industry-leading low power levels,
targeting automotive front cameras for use in mass-produced Level 3
(conditional automation) and Level 4 (high automation) autonomous
vehicles (Note 2). The new R-Car V3H system-on-chip (SoC) is
optimized for use in stereo front cameras and achieves five times
the computer vision performance of its predecessor, the R-Car V3M
SoC targeting NCAP (Note 3) front cameras, announced on April 11,
2017. Part of the open, innovative, and trusted Renesas autonomy™
Platform for advanced driver assistance systems (ADAS) and
automated driving (AD), the R-Car V3H enables design flexibility
for Tier 1s and OEMs to map their own road from assisted- to
highly-automated vehicles.
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Renesas R-Car V3H SoC for Advanced
Computer Vision (Graphic: Business Wire)
State-of-the-art R-Car recognition technology
The R-Car V3H SoC focuses on architecture optimization for
computer vision processing, enabling all relevant ADAS functions
from conditional to highly automated driving. Leveraging Renesas’
concept of heterogeneous computer vision cores based on the IMP-X5+
image recognition engine and dedicated hardware accelerators, the
R-Car V3H achieves advanced sensing capabilities with algorithms
including Dense Optical Flow (Note 4), Dense Stereo Disparity (Note
5), and Object Classification (Note 6). The integrated IP for CNN
accelerates deep learning at industry-leading low power levels of
only 0.3 watts, achieving more than two times of the deep neural
network performance of the R-Car V3M.
Scalability and cost saving
Relying on proven IPs already used in the R-Car V3M, the R-Car
V3H includes a dual Image Signal Processor (ISP) that converts
camera sensor signals for image creation and recognition
processing. The re-use ensures scalability from NCAP systems—using
R-Car V3M—to level 3 and 4 smart camera systems—using R-Car
V3H—reducing both development time as well as system costs by
avoiding the need for ISPs in each camera. For further system cost
savings, the R-Car V3H requires only a single LPDDR4 memory,
reducing the cost for memory components compared to other solutions
for front cameras.
Open platform solution
Tier1s and OEMs have the choice to develop a front camera
solution by themselves or work with leading partners from the
Renesas autonomy ecosystem, which is supported by leading front
camera partners including HELLA Aglaia.
“The R-Car V3H specification and design was done by cooperating
closely with front camera market leaders to ensure we addressed the
requirements of those leading innovations on autonomous driving
systems. As the automotive semiconductor industry leader, Renesas
is committed to providing open, innovative, and trusted solutions
for assisted and automated driving,” said Jean-Francois Chouteau,
Vice President, Renesas Electronics Corporation. “Besides featuring
state-of-the-art computer vision performance at a very competitive
system cost, what our customers like above all with R-Car-V3H is
being able to keep the freedom to implement a front camera with
their own differentiators and still benefit from scalable solutions
between R-Car V3M and R-Car V3H.”
Availability
Samples of the R-Car V3H SoC will be available from Q4. Mass
production is scheduled to begin in Q3, 2019. (Availability is
subject to change without notice.)
Renesas will demonstrate the new R-Car V3H at embedded world
2018 (Stand 310, Hall 1), which takes place February 27 to March 1,
2018 in Nuremberg, Germany.
For more information about Renesas, follow Renesas Electronics
America at @RenesasAmerica on Twitter
and https://www.facebook.com/RenesasAmericas/.
(Note 1) Convolutional neural networks (CNNs), are deep,
feed-forward artificial neural networks that have been successfully
applied for analyzing visual imagery and are increasingly used in
automotive for applications like road detection or object
classification.
(Note 2) Level 3 (conditional automation) and Level 4 (high
automation) of the SAE International’s new standard J3016
Taxonomy and Definitions for Terms Related to On-Road Motor
Vehicle Automated Driving Systems, delivers a harmonized
classification system and supporting definitions that identify six
levels of driving automation from “no automation” to “full
automation”.
(Note 3) NCAP (New Car Assessment Program):A government car
safety program tasked with evaluating new automobile designs for
performance against various safety threats.
(Note 4) Dense Optical Flow is used to accurately track movement
of objects
(Note 5) Dense Stereo Disparity is used to measure distance in
3D using all pixel units of the camera image
(Note 6) Object Classification is used to identify objects
About Renesas Electronics Corporation
Renesas Electronics Corporation (TSE: 6723) delivers trusted
embedded design innovation with complete semiconductor solutions
that enable billions of connected, intelligent devices to enhance
the way people work and live—securely and safely. A global leader
in microcontrollers, analog, power and SoC products, Renesas
provides the expertise, quality, and comprehensive solutions for a
broad range of Automotive, Industrial, Home Electronics, Office
Automation and Information Communication Technology applications to
help shape a limitless future. Learn more at renesas.com.
(Remarks) Renesas autonomy is a trademark of Renesas Electronics
Corporation. All other registered trademarks or trademarks are the
property of their respective owners.
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Voce Communications, a Porter Novelli CompanyJessica Kerr,
408-738-7891jessica.kerr@porternovelli.com