Brainport, Urban driving, request route, VRU detection, route correction

<p><strong>Scenario description</strong>:</p> <p>Complete use case: Request vehicle, choose route on CEMA and GeoFenching VRU detection with 4 smartphone detections<br> Test detection of multiple VRUs close to each other and compare with camera detections.<br> Test GeoFence area of detection with different pedestrian walking paths (for pedestrian prediction)<br> Make comparison with GeoFenching enabled (runs 1-12) and with GeoFencing disabled (runs 13-25)</p> <p><strong>Session description</strong>:</p> <p>Smartphone 3120 sends request, route 2 is being blocked by crowd (depending on run this changes), vehicle receives correct route and drives from west to east. Underway 2 groups of each 2 VRU crosses, or walk alongside the road (see Test Plan Table 3 for exact walking patterns).</p> <p><strong>Datasets descriptions</strong>:</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_DriverVehicleInteraction</strong>: Data extracted from the CAN of the vehicle</p> <p>Dataset Description This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_EAI2Mobile</strong>: Data from the service to the mobile</p> <p>Dataset Description This dataset contains information sent to the mobile about the Estimated Arrival time and position</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_EnvironmentSensorsAbsolute</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with absolute coordinates</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_EnvironmentSensorsRelative</strong>: Data extracted from the vehicle environment sensors</p> <p>Dataset Description This dataset contains information about detected object, with relative coordinates</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_IOT_CEMA_Message</strong>: Data from the service to the vehicle</p> <p>Dataset Description This dataset contains information from the Crowd Estimation and Mobility Analytics service</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_IOT_FlowRadar_Message</strong>: Data from the vehicle to the service</p> <p>Dataset Description This dataset contains the GPS informaton (speed,position,heading) from the vehicle</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_IotVehicleMessage</strong>: Data sent between all devices, vehicles and services</p> <p>Dataset Description Each sensor data submission is a Message. A Message has an Envelope, a Path, and optionally (but likely) Path Events and optionally Path Media. The envelope bears fundamental information about the individual sender (the vehicle) but not to a level that owner of the vehicle can be identified or different messages can be identified that originate from a single vehicle.</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_IOT_VehicleStatus</strong>: Data sent from the vehicle to the service</p> <p>Dataset Description This dataset contains the current status of the vehicle</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_PositioningSystem</strong>: Data from GPS on the vehicle</p> <p>Dataset Description This dataset contains speed,longitude,latitude,heading from the GPS</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_SmartphoneGPS</strong>: Data sent by the mobile to the service</p> <p>Dataset Description This dataset contains the GPS informaton (speed,position,heading) from the mobile</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_SmartphoneStatus</strong>: Data sent from the mobile to the service</p> <p>Dataset Description This dataset contains the current status of the mobile</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_TaxiRequest</strong>: Data sent from the mobile to the service</p> <p>Dataset Description This dataset contains the requests for a taxi from the mobile phones</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_Vehicle</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o temperature and battery state of the vehicles</p> <p><strong>AUTOPILOT_BrainPort_UrbanDriving_VehicleDynamics</strong>: Data from the CAN and sensors about the state of the vehicle</p> <p>Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors</p>