Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving ...

Central to the effective operation of autonomous vehicles is the ability to accurately detect and recognize objects in their environment. This focuses on improving object detection capabilities using ...

Swarms of robots have been growing in importance due to their flexibility in completing various tasks that are difficult for ...

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.

Real-time detection finds extensive applications such as object tracking, video surveillance, pedestrian identification, people counting, autonomous-driving vehicles, facial detection, sports ball ...

A better and faster way to recognize and categorize items from aerial photography is to combine UAV technology with advanced Computer Vision (CV) algorithms. The research explores several strategies, ...

A research team has developed autonomous driving software that allows inexpensive sensors to detect transparent obstacles ...

By 2030, the autonomous vehicle market is expected to surpass $2.2 trillion, with millions of cars navigating roads using AI ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

The two companies have signed a preliminary agreement to look into developing and deploying an autonomous vehicle platform, according to a blog posted by Waymo. The language used by the companies ...