The future of mobility starts today: Success of the ASVIC project
At Luce IT, innovation is part of our DNA. We are pleased to announce the successful completion of the project ASVIC (Secure Architecture for the Intelligent and Connected Vehicle), an ambitious initiative in which we have had the privilege to participate as technology partners within a top-tier consortium led by Renault.
This project marks a turning point in how we understand transport, laying the foundations for safer, more efficient, and autonomous mobility. Below, we share the key milestones of this technological adventure and what our specific contribution has been.
The Goal of ASVIC: Towards Secure Autonomous Driving
The fundamental purpose of the ASVIC project has been to research and design an advanced and secure architecture for intelligent vehicles. The challenge was not small: the aim was to allow vehicles to reach a Level 4 of automation (L4) in controlled environments (technically known as limited ODDs).
In simple terms, the general objective has been to create the “intelligence” and the structure necessary for vehicles to operate autonomously, communicate with each other and with the infrastructure, and do so while guaranteeing maximum safety and sustainability. It is about taking a qualitative leap towards the future of the connected car.
Luce IT’s Role: Artificial Intelligence and Vision at the Service of Safety
Within this great gear mechanism, at Luce IT we have focused on what we do best: providing value through data and advanced technology. Our main objective has been to endow the vehicle with superior perception capabilities through Artificial Intelligence.
Our participation has focused on two main areas:
- Computer Vision for Maintenance and Safety: We have researched and designed computer vision models capable of “seeing” and analyzing the environment in real time. This includes detecting road conditions (pavement), identifying signage, and locating obstacles. Thanks to this, the vehicle not only circulates but understands the state of its surroundings to make safer decisions.
- Edge Intelligence (Edge Computing): For an autonomous vehicle to be efficient, it cannot always rely on the cloud to process information due to latency. Therefore, we have worked on the implementation of AI models in Edge nodes embedded in the vehicle itself. This allows for real-time detection of active mobility (pedestrians, other vehicles) and instant management of congestion situations, improving flow and safety.
The completion of ASVIC reaffirms our commitment to the development of technological solutions that have a real impact on society and the automotive industry.
If you are interested in learning more about how we apply advanced Data, Analytics & AI solutions to transform critical sectors such as mobility or industry, at Luce IT we are ready to help you take the next technological step. Contact us.
This project has been subsidized by the CDTI, with the support of the Ministry of Science, Innovation and Universities, within the framework of the “Science and Innovation Missions Program” under the Recovery, Transformation and Resilience Plan.
Funded by the European Union – NextGenerationEU.
Frequently Asked Questions about ASVIC
What is the ASVIC project and what is its main objective?
The ASVIC (Secure Architecture for the Intelligent and Connected Vehicle) project is an industrial research initiative whose objective is to design an advanced and secure architecture that allows vehicles to reach a Level 4 of autonomous driving in controlled environments. It seeks to improve the safety, efficiency, and sustainability of mobility through the use of cutting-edge technologies.
How does Artificial Intelligence improve safety in autonomous driving?
AI allows the vehicle to “understand” its environment. Through neural networks and vision algorithms, the system can identify critical elements in real time such as pedestrians, other vehicles, or pavement deterioration. This facilitates immediate decision-making, such as reducing speed or changing routes, minimizing the risk of accidents.
What is Edge Computing and why is it vital in this project?
Edge Computing allows data to be processed directly in the vehicle (in embedded nodes) instead of sending it to a remote server. This drastically reduces latency, guaranteeing an instant response to unforeseen events, something crucial for safety in autonomous driving.
Who are the members of the consortium that developed ASVIC?
The project has been led by RENAULT and has a consortium of leading technology companies such as FIVECOMM, SEEVIA, MULTIVERSE COMPUTING, SIGMA COGNITION, and LUCE IT. In addition, it has had the collaboration of research centers such as CTAG, the Polytechnic University of Valencia, and the Carlos III University of Madrid.
