Vigo, Automated Valet Parking, Drop off and Pick up

Scenario description:

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.

Session description:

Human factor tests performed at Praza do Rei parking in Vigo. It is an enclosed area with no GPS coverage, so a LIDAR indoor positioning system is used.

Datasets descriptions:

AUTOPILOT_Vigo_UrbanDriving_Vehicle: Data extracted from the CAN of the vehicle. Contains data regarding the state of the vehicle, such as speed, engine speed or fuel consumption.

AUTOPILOT_Vigo_UrbanDriving_VehicleDynamics: 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.

AUTOPILOT_Vigo_UrbanDriving_DriverVehicleInteraction: Data extracted from the CAN of the vehicle. 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.

AUTOPILOT_Vigo_UrbanDriving_EnviromentSensorsAbsolute: Data extracted from the sensors of the vehicle in absolute coordinates.

AUTOPILOT_Vigo_UrbanDriving__EnviromentSensorsRelative: Data extracted from the sensors of the vehicle in relative coordinates.

AUTOPILOT_Vigo_UrbanDriving_Positioning: Data from the GPS of the vehicle, such as latitude longitude and heading.

AUTOPILOT_Vigo_UrbanDriving_IoT: Data of the communications via IoT, coming from the OBU of the vehicle and the IoT server that contains the Parking Service.