Renesas Electronics Corporation and StradVision has launched the joint development of a deep learning-based object recognition solution for smart cameras employed in next-generation ADAS applications and cameras for ADAS Level 2 and above.
To evade hazards in urban areas, next-generation ADAS implementations need high-precision object recognition able to detect so-called vulnerable road users such as pedestrians and cyclists. Simultaneously, for mass-market mid-tier to entry-level vehicles, these systems are required to consume very low power. The new solution from the companies delivers both and is intended to accelerate the widespread adoption of ADAS.
“A leader in vision processing technology, StradVision has abundant experience developing ADAS implementations using Renesas’ R-Car SoCs, and with this collaboration, we are enabling production-ready solutions that enable safe and accurate mobility in the future,” said Naoki Yoshida, vice president of Renesas’ Automotive Technical Customer Engagement Business Division. “This new joint deep learning-based solution optimized for R-Car SoCs will contribute to the widespread adoption of next-generation ADAS implementations and support the escalating vision sensor requirements expected to arrive in the next few years.”
“StradVision is excited to combine forces with Renesas to help developers efficiently advance their efforts to make the next big leap in ADAS,” said Junhwan Kim, CEO of StradVision. “This joint effort will not only translate into quick and effective evaluations but also deliver greatly improved ADAS performance. With the massive growth expected in the front camera market in the coming years, this collaboration puts both StradVision and Renesas in an excellent position to provide the best possible technology.”