The data to be translated: The team from North Carolina State University has developed MonoXiver, which utilizes AI to extract three-dimensional information from two-dimensional images, constructing reliable 3D maps. This method involves a step-by-step analysis and processing of images captured by a monocular camera, accurately capturing details, and ultimately generating precise 3D maps. The research team hopes that this method can enhance the ability of AI systems, such as self-driving cars, to perceive and navigate three-dimensional spaces. Additionally, the technology is characterized by its strong adaptability and ease of compatibility with different cameras, making it applicable in fields such as robotics, environmental monitoring, and medical imaging.