Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

The 4D tracking techniques would use 4D dynamic solid modeling of a cluttered space by collecting depth data from 3D cameras. These modeling concepts can then be applied in a number of use cases.

When automated optical inspection (AOI) works, it is almost always preferable to human visual inspection. It can be faster, more accurate, more consistent, less expensive, and it never gets tired.

Bolstering the safety of self-driving cars with a deep learning-based object detection system Date: December 13, 2022 Source: Incheon National University Summary: Self-driving cars need to ...

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

“‘Deep learning’ is an emerging technology that not only shows traction, but explosive patent growth as well.” In 2015, I spotted what I thought might be an emerging technology: deep learning. Because ...