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.
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 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.
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.
Samples of the R-Car V3H SoC will be available from Q4. Mass production is scheduled to begin in Q3, 2019.