Comparison of depth perception results across different models for autonomous driving. Each column shows the same driving scene under challenging conditions. Competing methods (SCSNet and SE-CFF) ...

A new study introduces a probabilistic multi-modal depth estimation method that fuses raw camera and LiDAR data at a low level, producing dense and precise depth maps. Unlike conventional high-level ...

Discover how adaptive-computing technology is extending the capabilities of LiDAR sensors to deliver higher depth resolution and reliability, overcoming challenges in autonomous driving. The evolving ...

Self-driving cars are trying to do the same thing, and cameras are a big part of that. They’re like the car’s eyes, helping ...