66a90874468fd90d5178619f Onsemiwebinar

Unlocking Level 3 Driving Automation Using Image Sensors: A Review of Automotive Corner Cases for Level 3+ autonomous driving

Join us to scope out how advanced automotive image sensors are revolutionizing object detection and paving the way for safer, high-speed autonomous driving by overcoming key challenges and addressing corner cases in various driving scenarios.
This webinar was originally held on September 12, 2024.
Now available for On Demand viewing! 

 
Duration: 1 hour
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Summary

In this webinar, we discuss key challenges to achieve higher levels of safety and autonomy. We will review the different metrics for object detection in various scenarios and conditions. Using cameras with different field-of-views, Hyperlux sensors are able to achieve long distance detection at up to 130 kph high speeds, which is crucial to enable level 3/3+ of autonomous driving. By addressing the corner cases, we showcase the advanced features and performances of Hyperlux image sensor family are pushing the envelope to help OEMs and automakers to enable more advanced and safer vehicle systems.

Key Takeaways:

  1. Understanding the challenges in autonomous driving
  2. How Hyperlux image sensors improve accuracy and reliability of object detection
 
 

Speakers

Sergey Velichko
Sr. Manager, Automotive Sensing Technology & Product Strategy
onsemi


Sergey Velichko has been responsible for technology and product development for the Automotive Sensing Division at onsemi since 2007. Previously, he worked in various teaching and R&D positions at KPI, Micron Technology, and HP. He is a Senior IEEE Member. He authored and co-authored more than 50 publications and over 70 issued and pending patents. His interests include intelligent sensor technology and strategic product development, novel imaging architectures, and innovations in imaging sensor designs.

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