Livorno, Urban driving, Pedestrian detection

<p><strong>Scenario description</strong>:</p> <p>The pedestrian detection use case aims to demonstrate the possibility for a vehicle to be informed, using V2X communication, of the presence of a pedestrian crossing the road when the traffic light is green for the vehicle. In case of&nbsp; presence of a pedestrian, the RSU with detection capabilities signals the presence of the pedestrian to the vehicles using DENM messages.</p> <p><strong>Session description</strong>:</p> <p>Pedestrian detection</p> <p><strong>Datasets descriptions</strong>:</p> <p><strong>AUTOPILOT_Livorno_UrbanDriving_Vehicle_all</strong>: Data generated from the vehicle sensors</p> <p>This dataset refers to the vehicle datasets generated from the vehicle sensors during Urban Drining in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data</p> <p><strong>AUTOPILOT_Livorno_UrbanDriving_V2X_all</strong>: V2V messages during platooning sessions</p> <p>This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Urban Drining in Livorno.</p> <p><strong>AUTOPILOT_Livorno_UrbanDriving_IoT_all</strong>: Data extracted from IoT oneM2M platform</p> <p>This dataset refers to messages exchanged by Urban Driving devices, applications and services across the oneM2M platform.</p>