The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

The pipeline of the proposed Motion Cue Fusion Network (MCFNet) is as follows. Voxels generated from raw event streams are first processed by the Event Correction Module (ECM) to produce high-quality ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

A research group at Disney Research Pittsburgh has developed a computer vision system that, much like humans, can continuously improve its ability to recognize objects by picking up hints while ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...

Robots can locate objects with cameras, but that is not always enough when the target is tiny, irregular, or partly hidden.

18 years into the new millennium, there are a number of exciting and evolving electronic innovations taking place. Among them is the development of ‘intelligent’ robots for industry, especially in ...

Lidar systems enable precise obstacle detection, distance measurement, and real-time mapping for safer interaction between ...