Vigo, Automated Valet Parking, Drop off and Pick up

<p><strong>Scenario description:</strong></p> <p>The vehicle starts parked in the drop off area. A drop off request is made to the parking service through the mobile phone application. Once the parking manoeuvre is finished, a pick up request is made. The test ends when the vehicle has been parked in the pick up area and the app informs the user.</p> <p><strong>Session description:</strong></p> <p>Human factor tests performed at Praza do Rei parking in Vigo.&nbsp;It is an enclosed area with no GPS coverage, so a LIDAR indoor positioning system is used.</p> <p><strong>Datasets descriptions:</strong><br> <br> <strong>AUTOPILOT_Vigo_UrbanDriving_Vehicle:&nbsp;</strong>Data extracted from the CAN of the vehicle. Contains data regarding the state of the vehicle, such as speed, engine speed or fuel consumption.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving_VehicleDynamics:&nbsp;</strong>Data extracted from the CAN of the vehicle.Contains data regarding the dynamic state of the vehicle, such as speed limit, acceleration or yaw rate.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving_DriverVehicleInteraction:&nbsp;</strong>Data extracted from the CAN of the vehicle.&nbsp;Contains all the information about the actions that the driver can perform, such as the state of the brake, the steering wheel and the throttle.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving_EnviromentSensorsAbsolute:&nbsp;</strong>Data extracted from the&nbsp;sensors of the vehicle in absolute coordinates.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving__EnviromentSensorsRelative:&nbsp;</strong>Data extracted from the&nbsp;sensors of the vehicle in relative coordinates.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving_Positioning:</strong> Data from the GPS of the vehicle, such as latitude longitude and heading.</p> <p><strong>AUTOPILOT_Vigo_UrbanDriving_IoT: </strong>Data of the communications via IoT, coming from the OBU of the vehicle and the IoT server that contains the Parking Service.</p> <p>&nbsp;</p>