AI-RIDE: A Multi-Camera System for the Evaluation of Motorcycle Driving Test

Giuseppe Riccardo Leone, Marco Righi, Davide Moroni, Anthony Baiamonte, Davide Bulotta, Francesco Paolucci

Abstract: This work presents the research connected to the AI-RIDE project, which focuses on the adoption of an accelerated, online and embedded Artificial Intelligence (AI) framework for motorcycle rider training scenario, mainly targeting the Practical Driving Courses (PDC) and Driving License Exam (DLE) session verification tools. The research targets a disruptive innovation step in the context of driving learning techniques, significantly going beyond the state of the art of the current instruments used in the PDC and DLE ecosystem. This paper reviews last year’s activities that led to the first working prototype: it provides an online penalty detection system and an experimental quantitative score at the end of the driving test. The promising results show the effectiveness of the image analysis and the AI use related to the given context.