AI software speeds ADAS development for Renesas platform

June 03, 2019 //By Christoph Hammerschmidt
AI software speeds ADAS development for Renesas platform
Automotive systems developers can get faster to functioning solutions with a new perception software for Renesas’ R-Car V3H 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 R-Car V3H SoCs deliver 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. To achieve state-of-the-art recognition technology, Renesas designed 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 these 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 sensor or recorded data, all stages of processing and display output on a screen.


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