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 ==== Recent Funded Projects ==== ==== Recent Funded Projects ====
  
-  * Research member of the ANR project ANNAPOLIS (2022 - 2026) - **Autonomous navigation among personal mobility devices**.\\+  * Research member of the ANR project [[https://project.inria.fr/annapolis/objectives/|ANNAPOLIS]] (2022 - 2026) - **Autonomous navigation among personal mobility devices**.\\
 Urban centers are increasingly invaded by new means of Personal Mobility Platforms (PMP) (Personal mobility devices: scooters, Hoverboards, Gyro-wheels, bikes, etc.), directly or indirectly at the source of unpredictable behaviors in the traffic environment. The “Loi mobilité 2019” bill provides for the return of the scooters to the traffic lane when the dedicated bicycle lanes do not exist. In such a context, autonomous vehicles suffer from their limited perception obtained only from on-board sensors (forced to undergo the movements of the vehicle) and sometimes reduced in the measurement field by bulky obstacles (buses, trucks, etc.) or an occluding environment (buildings or urban structures). In such situation, unforeseen and unexpected events take source from the presence of new electrical mobility systems, or from behaviors of unstable pedestrians using (or not) new PMP and respecting (or not) the traffic rules. ANNAPOLIS will increase the vehicle’s perception capacity both in terms of precision, measurement field of view and information semantics, through vehicle to intelligent infrastructure communication. The project will also seek new models or concepts to take into account unpredictable behaviors of the new means of individual electric transport, to interpret and analyze scenes under constant evolution, and finally to decide the best future and safe motion of the self-driving car even in highly dynamic environments with unexpected and dangerous events. Urban centers are increasingly invaded by new means of Personal Mobility Platforms (PMP) (Personal mobility devices: scooters, Hoverboards, Gyro-wheels, bikes, etc.), directly or indirectly at the source of unpredictable behaviors in the traffic environment. The “Loi mobilité 2019” bill provides for the return of the scooters to the traffic lane when the dedicated bicycle lanes do not exist. In such a context, autonomous vehicles suffer from their limited perception obtained only from on-board sensors (forced to undergo the movements of the vehicle) and sometimes reduced in the measurement field by bulky obstacles (buses, trucks, etc.) or an occluding environment (buildings or urban structures). In such situation, unforeseen and unexpected events take source from the presence of new electrical mobility systems, or from behaviors of unstable pedestrians using (or not) new PMP and respecting (or not) the traffic rules. ANNAPOLIS will increase the vehicle’s perception capacity both in terms of precision, measurement field of view and information semantics, through vehicle to intelligent infrastructure communication. The project will also seek new models or concepts to take into account unpredictable behaviors of the new means of individual electric transport, to interpret and analyze scenes under constant evolution, and finally to decide the best future and safe motion of the self-driving car even in highly dynamic environments with unexpected and dangerous events.
  

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en/research.1689429114.txt.gz · Last modified: 2023/07/15 15:51 by fdavoine
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