Objectives
Creating a Digital Twin of a vehicle, reconstructing its 3D appearance from images, with the goal of applying the technology to the public transport sector to track the vehicle’s history, improve the ability to better plan roads and parking, and manage traffic.
Initial challenge
Reconstructions of road accidents are often unreliable and can easily lead to fraud. By creating more reliable vehicle models, these frauds can be avoided and accidents can be investigated more thoroughly.
Solution
After evaluating state-of-the-art models for Digital Twins of currently accessible vehicles, a better model was researched and tested. After creating this new model, it was implemented in software that, given data related to vehicles used in public mobility, is capable of designing its 3D digital twin.
Benefits
Having a set of libraries applicable to a real-world scenario makes it possible to account for all end-user needs, from weather conditions to the ability to access models from a smartphone.
Additionally, this application can be easily scaled to other areas of interest, such as urban planning and vehicle monitoring, to support the digital transformation of public services.
The prototype created can be extended to other vehicles, such as taxis or buses, and easily updated to contain the history of damage sustained.
IFAB’s role
IFAB took part in the project as a funding body, selecting it as part of its investment lines in research, innovation, and technology transfer. IFAB’s contribution consisted of recognizing the project’s scientific and practical value and providing financial support, making it possible to carry out the research activities conducted by the technical partners. This involvement confirms IFAB’s mission as an accelerator of high-impact initiatives for the local area and productive system.
Partners
For more information, contact: projects@ifabfoundation.org















