Automotive vision specialist STRADVISION has made its SVNET AI vision software available for the Texas Instruments (TI) TDA4 automotive processor for Level 2 advanced driver assistance systems (ADAS) L2 designs and automated driving features.

SVNet provides perception technology for ADAS and autonomous vehicles applications. It enables external vehicle perception via 18+ platforms, including the TI automotive processor platform. It can detect and recognise objects (even in poor lighting or harsh weather conditions), such as other vehicles, lanes, pedestrians, animals, free space, traffic signs, and lights.

SVNet was the first deep neural network to run deep learning-based object detection software using the TDA2SX processor. It now also provides deep neural networking across the TI TDA4VM processor family.

SVNet’s implementation for the TDA4 processor is optimised for high performance along with low power consumption and a reduced bill of materials.

“Enabling more cars on the road with advanced driver assistance capabilities can lead to greater driver comfort and improved road safety. The hardware-optimised SVNet software makes it possible for automotive designers to leverage our automotive system-on-chip products to enable surround-view vision, helping them improve the driver experience and road safety,” said Aish Dubey, general manager of automotive processors at TI.

“The software for TI’s automotive processor is optimised for ADAS, and we will strive to lead the ADAS industry market trend of going beyond L2,” said Junhwan Kim, CEO at STRADVISION. “At STRADVISION, our goals have always been ambitious, and the next step in our journey is providing a vision solution for OEM mass production that meets key performance requirements for L2 and the next level.”

TI’s TDA4 processor family is designed as an entry camera solution for high-volume L2 ADAS applications, and beyond.  The processor is purpose-built for ADAS and Autonomous Vehicle (AV) applications and builds on extensive market knowledge accumulated over a decade in the ADAS processor market. The combination of high-performance computing, a deep-learning engine, and dedicated accelerators for signal and image processing in a functional safety-compliant-targeted architecture also makes the TDA4 devices optimised for several industrial applications, such as ADAS, robotics, machine vision, and radar sensing.