Researchers at North Carolina State University have developed an innovative technique that allows artificial intelligence (AI) programs to more accurately map three-dimensional (3D) spaces using two-dimensional (2D) images captured by multiple cameras. This advancement promises to significantly improve the navigation capabilities of autonomous vehicles while operating efficiently with limited computational resources.
“Most autonomous vehicles use powerful AI programs called vision transformers to take 2D images from multiple cameras and create a representation of the 3D space around the vehicle,” explained Tianfu Wu, Ph.D., Associate Professor of Electrical and Computer Engineering at North Carolina State University. “However, while each of these AI programs takes a different approach, there is still substantial room for improvement.”
Continue reading… “Advancing Autonomous Navigation: NC State Researchers Enhance 3D Mapping with AI”