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Renesas Enables ADAS Developments with Perception Software

Renesas Electronics is accelerating the development of advanced driver assistance systems (ADAS) with a new Perception Quick Start Software based on its R-Car V3H system-on-chip (SoC). The solution delivers reference software for camera obstacle detection (COD), LiDAR obstacle detection (LOD), and road feature detection (RFD) – three key recognition areas for sensor-based Level 2+ autonomous vehicle systems.

The offering delivers a combination of high computer vision performance and artificial intelligence processing at low power levels, providing an optimized embedded solution for automotive front cameras in Level 2+ autonomous vehicles.

Renesas has achieved the recognition technology by designing the SoCs with dedicated hardware accelerators for key algorithms including convolutional neural networks, dense optical flow, stereo disparity, and object classification.

The new perception software provides an end-to-end pipeline reference for developers working with this complex yet cost-effective and power-efficient accelerators, which allows customers to kickstart their application design whether they are experts at using the accelerators or have limited experience. The reference software covers input from a sensor or recorded data, all stages of processing and display output on a screen.

“With the new Perception Quick Start Software, we are able to offer a set of application software along with the underlying primitives to simplify the use of these complex accelerators needed to achieve embedded ADAS.” said Tim Grai, Director of Automotive Advanced Systems Innovation Department, Renesas.

Renesas will demonstrate the new Perception Software solution in Renesas’ booth C190 at TU-Automotive Detroit 2019, June 5-6, in Novi, Mich.

The Key Capabilities of the Renesas Perception Quick Start Software:

  • The COD reference software uses convolutional neural network (CNN) IP, a computer vision engine (CV-E), and image rendering (IMR) technology to detect 2D objects such as cars, trucks, buses, and pedestrians. The COD achieves approximately 30 frames per second (FPS).
  • The LOD software uses CNN-IP and CV-E to detect 3D objects, including cars and trucks. The LOD achieves approximately 15 FPS with 3D bounding boxes at 50 meters.

Convolutional Neural Network (CNN) IP

  • The RFD reference software uses CNN-IP, CV-E, IMR, and a versatile pipeline engine (IMP) to identify drivable free space, lanes (crossable and uncrossable), road boundaries, and distances to lanes and nearest objects to support NCAP 2020. The RFD achieves approximately 30 FPS.

RFD reference

Availability

The Renesas Perception Software solution is available now in the United States with worldwide availability to follow. Please contact your local sales representative for more details.

Renesas will continue to expand the Perception Quick Start Software with new features and capabilities that are aligned with industry trends.

Further information: Click Here

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Jyoti Gazmer

A Mass Comm. graduate believes strongly in the power of words. A book lover who dreams to own a library some day. An introvert but will become your closest friend if you share mutual feelings about COFFEE. I prefer having more puppies over humans.

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