AutomotiveMachine Learning13 min reading time

The Distortion You Can’t See: Why ADAS Camera Systems Fail in the Field and How Physics-Informed ML Changes That

Unite.AI
Read the full article
An ADAS front camera system experienced severe lens distortion late in its design cycle, causing safety risks. To prevent such issues early, physics-informed machine learning models are being developed to predict optical distortions before manufacturing, integrating physics simulation with AI to improve camera reliability in vehicles.

More in Automotive

Automotive3 min read

inDrive taps Pony.ai and Nvidia to test robotaxis in one of the world's coldest capitals

ET AI (The Economic Times)
Automotive2 min read

Wayve, Stellantis and Nvidia team up with France on self-driving cars

Covered by 2 sources
Automotive3 min read

Rivian buys Third Dimension AI to turn real roads into 3D test worlds

The Next Web