-
Brainport, Highway pilot, car in manual mode, camera detection
Scenario description: The detection car drives around the track in manual mode, with Camera detection ON. Session description: 25 laps with VW Tiguan on Automotive Campus... -
Vigo,Urban driving, GLOSA and VRU detection
Scenario description: GLOSA and VRU detection. The autonomous vehicle makes several turns on the scenario adapting its speed to the state of the traffic light. At an... -
Brainport, Platooning, platoon formation feasibility
Scenario description: Platoon formation only. - Disabled live traffic light data included in planner - Not using the Android app - Starting at default locations Session... -
Brainport, Automated valet parking, pickup scenario with DLR vehicle
Scenario description: The AD-vehicle receives parking command message (AutoPilot.VehicleCommand) containing the destination pickup spot and the free obstacle route and drives... -
Brainport, Platooning, platoon with live traffic light
Scenario description: Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus. - Starting in urban area with speed limits of 15 and 30... -
Versailles, Urban driving, complete sessions
Scenario description: Car sharing and urban driving with cyclist and pedestrian detection Session description: Booking of a vehicle at the car sharing station, manual driving... -
Brainport, Platooning, formation improvement by traffic light data
Scenario description: Platoon formation with live traffic light data included in planner. - Enabled live traffic light data included in planner - Not using the Android app -... -
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... -
Brainport, Urban driving, car rebalancing, VRU detection, rerouting
Scenario description: Precondition: - AD Vehicle (3177) is at starting position - VRU with Smartphone (3120) is at end position - VRU with Smartphone (3121) and FlowRadar... -
Test procedure for evaluating the human–machine interface of vehicles with au...
Objective: The human–machine interface (HMI) is a crucial part of every automated driving system (ADS). In the near future, it is likely that—depending on the operational design... -
Brainport, Highway pilot, car in manual mode, IMU detection
Scenario description: The detection car drives around the track in manual mode, with IMU detection ON. Session description: 25 laps with VW Tiguan on Automotive Campus Test... -
Brainport, Platooning, formation and platooning without traffic
Scenario description: Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus. - Starting in urban area with speed limits of 15 and 30... -
Brainport, Highway pilot, detection car, manual mode, camera and IMU detectio...
Scenario description: The detection car drives around the track in manual mode, with Camera and IMU detection ON. Session description: 25 laps with VW Tiguan on Automotive... -
Brainport, Highway pilot, detection car reference laps
Scenario description: The detection car drives around the track in manual mode, at an average speed close to laps for detections, but with all detections systems disabled.... -
Brainport, Urban driving, request route, VRU detection, route correction
Scenario description: Complete use case: Request vehicle, choose route on CEMA and GeoFenching VRU detection with 4 smartphone detections Test detection of multiple VRUs close... -
Brainport, Platooning, baseline, rush hour
Scenario description: Driving without speed advice or any services to measure base-line. Session description: Baseline (rush hour) Datasets descriptions:... -
Versailles, Urban driving, Automated Driving and VRU detection
Scenario description: cyclist and pedestrian detection during automated driving. Session description: Automated Driving part of the trip only. Two rounds: the first one without... -
Brainport, Highway pilot, car in manual mode, but receiving adaption instruct...
Scenario description: The driving adaptation car is driven around the track in manual mode, but driving instructions are communicated to the driver. Session description: 12... -
dedup_wf_001--431168526e1c6d7a11fcc3383f65322a
Scenario description: RS Camera parking spot occupancy detection and publication of the iot message from type AutoPilot.ParkingSpotDetection to the PMS via IoT platforms... -
Brainport, Platooning, formation and platooning from default locations
Scenario description: Platoon formation and platooning, from Helmond to Eindhoven and back to the Automotive Campus. - Starting in urban area with speed limits of 15 and 30...
