DRiVING Project
The DRiVING Project (Distributed Recognition Infrastructure for Intelligent Traffic Camera Networks) focuses on improving the recognition systems in traffic cameras to ensure they perform optimally in diverse real-world conditions. Currently, recognition algorithms in traffic cameras are often static and may not perform well under varying environmental conditions. This project aims to develop an advanced engine and methodology that continuously assesses and updates these systems for better performance.
A key innovation of the DRiVING project is the transition from a traditional push architecture, where traffic cameras send data to a central unit, to a bidirectional system. This allows the central unit to monitor the cameras and update their recognition algorithms in real-time, ensuring that they continue to adapt to changing conditions.
The project is being developed in collaboration with the Vrije Universiteit Brussel (VUB) and their Electronics and Informatics Department (ETRO). Their expertise in electronics and informatics plays a vital role in the development of the recognition engine and methodologies.
The DRiVING project is set to improve traffic management by providing smarter, more adaptive traffic cameras, which will contribute to safer and more efficient urban mobility. By enhancing the performance of traffic cameras, the project supports the development of smart cities, helping them tackle challenges such as congestion, road safety, and environmental sustainability.
In conclusion, the DRiVING project is a significant step toward advancing traffic monitoring systems, making them more adaptive and efficient in real-time, and contributing to the growth of smarter, safer cities.
Partner : VUB: Electronics and Informatics Department ETRO