AI System Can Detect Objects Around Corners – NVIDIA Developer News Center

To help autonomous vehicles and robots potentially spot objects that lie just outside a system's direct line-of-sight, Stanford, Princeton, Rice, and Southern Methodist universities researchers developed a deep learning-based system that can detect objects, including words and symbols, around corners. "Compared to other approaches, our non-line-of-sight imaging system provides uniquely high resolutions and imaging speeds," said Stanford University's Chris Metzler, on the Rice University post, Cameras see around corners in real time with deep learning. "These attributes enable applications that wouldn't otherwise be possible," he added. To achieve this, the system relies on a laser that can capture detailed images of objects around corners in real time. Specifically, a light from a high-speed laser is beamed onto a wall, the light from the hidden area bounces back to the wall, and that light is reflected to a camera.