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

Shenzhen Huayan Intelligent Co., Ltd. applied for a patent titled "Robot Control Method for Object Surface Tracking and Related Equipment" in June 2025, which was officially published on August 27.

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.

Take real-time visual systems, for instance: they must track objects across frames, manage occlusions, and maintain semantic ...

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 tech Here’s how deep learning helps computers detect objects From autonomous driving to healthcare, object detection is used for many things June 28, 2021 - 2:27 pm ...

Future integration of the deep learning algorithm into standard system software would allow factory engineers to train networks that could then be run locally for inspection. There are many more ...