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Automotive Use Case Studies for Long Distance and Night Object Detection Using Latest Image Sensor Cameras

Event: AutoSens USA
| Session date: Wednesday 22nd May
Session date: Wednesday 22nd May
, 2024

Hear from:

Sergey Velichko
Sergey Velichko
Sergey Velichko
Senior Manager, ASD Technology and Product Strategy,

onsemi

Sergey Velichko
Sergey Velichko
Sergey Velichko
Senior Manager, ASD Technology and Product Strategy,

onsemi

Evolving regulations are directing the automotive industry to sharply adopt and transition to higher levels of safety, providing solutions that prevent death and injuries on roads around the globe. In this study we focus on latest 2.1 µm image sensors and their ability to detect various objects. We use different theoretical metrics in daylight and night conditions, to showcase detection abilities in typical automotive scenarios. Fulfilling latest OEM scenarios and requirements, these objects include vulnerable road users and small objects at various distances. Using cameras with different field-of-views we demonstrate that latest Hyperlux sensors outperform other solutions and enable detection of these various objects at long distances thus making possible up to 130 KPH speeds and level 3/3+ of autonomous driving. We compliment the studies with numerous images and videos.

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