By Brady Tsai, originally published in This Week In Machine Learning

Listen to the new This Week in Machine Learning Podcast, in which Reality AI CEO, Stuart Feffer, and Brady Tsai, Business Development Manager at Koito, are discussing  AI applications for the automotive sector.

The current versions of Adaptive Driving Beams available in Japan and Europe are using traditional machine vision techniques like template matching. Those machine learning techniques perform very well in constrained environments but are prone to many false positive when used in the dynamic, real world, with a lot more variations in targets and backgrounds. 

Koito and Reality AI are working together on the next generation of ADB headlights using AI to reduce false positive rates and deliver more accurate prediction. Our AI is able to track a vehicle in front of you or oncoming, and selectively block it out as it moves across the field of vision, while keeping the high beams on. This increases safety by making sure the driver can still see pedestrians or animals that are peripheral to that car. 

The real challenge though is to incorporate this AI prediction on a cheap hardware that meets the price point requirement of the product.
This is where Reality AI's signal processing approach makes the whole difference.

Listen to the podcast to learn more.