Fujitsu Limited and Carnegie Mellon University have joined forces to create an incredible technology that allows for the visualization of traffic situations in a whole new way. Through their collaborative research on Social Digital Twin, they have developed an AI-powered system capable of transforming 2D scene images into digitalized 3D formats. This breakthrough technology estimates the 3D shape and position of people and objects, resulting in highly precise visualization of dynamic 3D scenes.
By utilizing this cutting-edge technology, the partners aim to revolutionize traffic analysis and potential accident prevention. The system, which relies on deep learning algorithms, can accurately detect the shape of people and objects. Through its 3D Occupancy Estimation Technology and 3D Projection Technology, images captured at densely situated locations like intersections can be reconstructed in a 3D virtual space. This provides authorities with a crucial tool for advanced traffic analysis, surpassing the capabilities of traditional surveillance cameras.
In addition to its practical applications in transportation, Fujitsu and Carnegie Mellon University envision the commercialization of this technology for use in smart cities and traffic safety. Its potential extends beyond traffic analysis, as the system can also be applied to the dynamic replication of complex interplays between various elements, like people, goods, economies, and societies in 3D.
Furthermore, privacy concerns have been taken into consideration. Faces and license plates captured in the images are anonymized to protect individuals’ privacy, ensuring that the technology can be implemented ethically.
The partners will conduct field trials in Pittsburgh, USA, starting February 22, 2024, using data from intersections to verify the practicality and effectiveness of this technology. With the aim of expanding its scope of application, Fujitsu and Carnegie Mellon University are determined to commercialize this groundbreaking innovation by fiscal year 2025.
As we witness this remarkable advancement, it is evident that Fujitsu and Carnegie Mellon University are paving the way for a future where traffic analysis, smart cities, and traffic safety thrive simultaneously in a seamlessly interconnected world.
FAQ:
1. What is the collaboration between Fujitsu Limited and Carnegie Mellon University about?
Fujitsu Limited and Carnegie Mellon University have collaborated to develop a technology called Social Digital Twin. This technology enables the visualization of traffic situations in a new way by converting 2D images into digitalized 3D formats.
2. How does the AI-powered system work?
The AI-powered system uses deep learning algorithms to accurately detect the shape of people and objects. It estimates the 3D shape and position of individuals and objects in the scene, resulting in highly precise visualization of dynamic 3D scenes.
3. What are the applications of this technology?
The technology has practical applications in traffic analysis and accident prevention. It can also be used in smart cities and traffic safety. The system can replicate complex interactions between various elements such as people, goods, economies, and societies in 3D.
4. How does the technology address privacy concerns?
To protect individuals’ privacy, the technology anonymizes faces and license plates captured in the images. This ensures that the technology can be implemented ethically.
5. What are the future plans for this technology?
The partners plan to conduct field trials in Pittsburgh, USA, starting February 22, 2024, to verify the practicality and effectiveness of the technology. They aim to commercialize this innovation by fiscal year 2025, with the goal of expanding its scope of application.
Definitions:
– Social Digital Twin: A technology that enables the visualization of traffic situations by converting 2D images into digitalized 3D formats.
– Deep learning algorithms: Algorithms that are capable of learning and making decisions based on large amounts of data, similar to the way a human brain functions.
– 3D Occupancy Estimation Technology: A technology that estimates the 3D shape and position of people and objects in a scene.
– 3D Projection Technology: A technology that projects 2D images into a 3D virtual space, allowing for the reconstruction and visualization of scenes in 3D.
Related links:
– Fujitsu
– Carnegie Mellon University
– Fujitsu Transportation Solutions
The source of the article is from the blog elektrischnederland.nl