VEDLIoT H2020 ICT-56 European Project: AI-RIDE Demo
The CNIT was awarded, in collaboration with Autoscuola Gerardo driving school, present in Pisa province with numerous locations for over forty years, and with the scientific support of the ISTI institute of the CNR of Pisa and the TECIP institute of the Scuola Superiore Sant’Anna, a European research project called AI-RIDE. The project, an open call of the wider European VEDLIoT project (H2020 ICT-56), has now reached the final stage, with an operational demonstration which was held on 14 June 2023 at the Pontedera (PI) track in via Tosco Romagnola 244, with the participation of representatives of the Ministry of Infrastructure and Transport, of the Civil Motorization and of the driving schools.
The AI-RIDE project has the goal of simplifying and improving driving courses and motorcycle license exams using edge computing and artificial intelligence solutions. The project has developed a prototype system that allows, thanks to the analysis of video streams from trackside cameras, to evaluate the driver’s trajectory on the track in compliance with the correct lap times. Artificial intelligence also makes it possible to automatically detect incorrect driving behavior, identifying errors such as going off the track or touching the cones.
The system also uses innovative IoT-based wearable tools, such as pupil-tracking goggles that detect the movement of the driver’s eyes. In this way, during the learning phases, using augmented reality in the driver’s helmet, the system provides suggestions to correct the direction of the driving gaze, making learning more effective and safer.
The AI-RIDE system therefore provides solutions for learning and evaluating driving behavior that can be used as a digital support for instructors and examiners during motorcycle practice courses and driving license exams. For example, examiners will be able to take exams remotely, supported by a technology that will highlight any inappropriate behavior of the candidate. In other cases, the system will be able to certify the actual holding of driving courses, providing an estimate of the level of preparation achieved, which will enable the driving schools to use it autonomously either to prepare candidates or to make specific driving license upgrades.
The ultimate goal of the project is to introduce AI, IoT and edge computing technologies in the smart city environment to accelerate the learning of correct and safe driving techniques, improve road safety, make the driving experience more pleasant, promote eco-driving behavior and share the results with the regulatory authorities.