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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
Data sources: Sygma
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Brainport, Automated valet parking, RS camera object detection

Authors: DLR (Deutsches Zentrum Für Luft- Und Raumfahrt); VICOMTECH; NEVS (National Electric Vehicle Sweden); TNO;

Brainport, Automated valet parking, RS camera object detection

Abstract

Scenario description: RS Camera object detection and publication of the iot message from type AutoPilot.ObjectDetection to the PMS via IoT platforms Session description: A car drive on the AVP road segment and stop and the RS camera detect the car as obstacle and send the obstacle information to the PMS for free obstacle route calculation for AD-car Datasets descriptions: AUTOPILOT_BrainPort_AutomatedValetParking_DriverVehicleInteraction: Data extracted from the CAN of the vehicle Dataset Description This dataset contains e.g. throttlestatus, clutchstatus, brakestatus, brakeforce, wipersstatus, steeringwheel for the vehicle AUTOPILOT_BrainPort_AutomatedValetParking_DroneAvpCommand: Data sent from drone Dataset Description This dataset contains route information for a vehicle to a designated parking spot AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_AutomatedValetParking_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_AutomatedValetParking_IotVehicleMessage: Data sent between all devices, vehicles and services 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. AUTOPILOT_BrainPort_AutomatedValetParking_ParkingSpotDetection: Data sent from drone to parkingService Dataset Description This dataset contains informaton about detected parking spots AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_AutomatedValetParking_PositioningSystemResampled: Data from GPS on the vehicle Dataset Description This dataset contains speed,longitude,latitude,heading from the GPS, resampled to 100 milliseconds AUTOPILOT_BrainPort_AutomatedValetParking_Vehicle: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o temperature and battery state of the vehicles AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpCommand: Data sent from ParkingService to vehicle Dataset Description This dataset contains route to parkingspot, and some other environmental information AUTOPILOT_BrainPort_AutomatedValetParking_VehicleAvpStatus: Data sent from vehicle to ParkingService Dataset Description This dataset contains information about the current status and parkingstatus of the vehicle AUTOPILOT_BrainPort_AutomatedValetParking_VehicleDynamics: Data from the CAN and sensors about the state of the vehicle Dataset Description This dataset contains a.o accelerations and speedlimit of the vehicle, as observed from the CAN and the external sensors

Keywords

Automated parking, Detection, Autonomous vehicle, Automated driving, Sensors, Camera, Drone

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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