AI-RIDE: a multi-camera system for the evaluation of motorcycle driving test
Leone G. R., Righi M., Moroni D., Baiamonte A., Bulotta D., Paolucci F.
Camera-based systems Edge computing Trajectory analysis Computer vision Artificial intelligence Motorcycle driving test
The AI-RIDE project proposes adopting an accelerated, online, and embedded Artificial Intelligence framework in motorcycle rider training, mainly targeting the Practical Driving Courses (PDC) and Driving License Exam (DLE) sessions verification tools. The project 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 work presents last year's activities with the promising results obtained with the first working prototype.
Source: SITIS 2023 - 17th International Conference on Signal Image Technology & Internet bASED Systems, Bangkok, Thailand, 8-10/11/2023
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@inproceedings{oai:it.cnr:prodotti:487480,
title = {AI-RIDE: a multi-camera system for the evaluation of motorcycle driving test},
author = {Leone G. R. and Righi M. and Moroni D. and Baiamonte A. and Bulotta D. and Paolucci F.},
booktitle = {SITIS 2023 - 17th International Conference on Signal Image Technology \& Internet bASED Systems, Bangkok, Thailand, 8-10/11/2023},
year = {2023}
}
0000-0002-7441-8528