Renesas R-Car SoC has been optimized for automotive front cameras

March 02, 2018 // By Christoph Hammerschmidt
Renesas has announced a version of its 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 and Level 4 autonomous vehicles.

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 V3MSoC targeting NCAP front cameras. Part of the 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.

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, Dense Stereo Disparity, and Object Classification. The integrated IP for Convolutional Neural Networks (CNN) accelerates deep learning – all this at a remarkable low power consumption of only 0.3 watts and achieving more than two times of the deep neural network performance of the R-Car V3M. 


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