onsemi's Cooperation with NVIDIA Set to Enhance Autonomous Cars' Vision Capabilities

27 September 2023

Drivers for the onsemi Hyperlux family of 3-8MPixel image sensors have now been made available on the NVIDIA DRIVE development platform.

The image sensors, which were released back in the spring, are based on a 2.1µm pixel size, have LED flicker mitigation (LFM) functionality and can handle a broad array of lighting conditions thanks to their 150dB dynamic range. This means that they will be a valuable addition to the advanced driver assistance systems being featured in vehicles currently under development, as well as ones with even greater levels of autonomy planned for the future. Another key aspect is that the image quality derived from these devices does not degrade with extreme temperatures. DRIVE availability means that Hyperlux image sensors will now be even easier for automobile engineers to integrate into their vision system designs. Through the combination of onsemi and NVIDIA technologies, such systems will benefit from superior image quality - thereby providing the accurate data needed to make safety-critical decisions quicker.

“Uncompromising image quality is imperative for autonomous vehicles and there is an expectation for the vehicles to perform better than human drivers,” states Chris Adams, VP of the Automotive Sensing Division at onsemi. “By offering Hyperlux as part of the NVIDIA DRIVE platform, automakers get a system that can see problems before drivers do and make better decisions to avoid them, which is a critical step to achieving fully autonomous driving.” 

“Building public confidence toward self-driving means being able to offer the assurance that these supercomputers-on-wheels can get you where you need to go, safely,” adds Glenn Schuster, Senior Director of Sensor Ecosystems at NVIDIA. “With Hyperlux image sensors now part of our ecosystem, we can continue to provide our OEM and tier 1 customers with the best choices for their unique needs—ensuring the highest levels of system performance, functional safety, and cybersecurity.”


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