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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: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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https://doi.org/10.5281/zenodo...
Dataset . 2020
License: CC BY
Data sources: Sygma
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Brainport, Highway pilot, road side camera detection

Authors: VALEO; VICOMTECH; TOMTOM; TASS; Technolution;

Brainport, Highway pilot, road side camera detection

Abstract

Scenario description: The road side camera detects objects (obstacle) on the test track and publishes the ANO IoT message. Session description: 10 minute observation of a section of the Automotive Campus Test Track Datasets descriptions: AUTOPILOT_BrainPort_HighwayPilot_AdasCommand: Data from the automated driver assistance system Dataset Description This dataset contains the ADAS command in the vehicle AUTOPILOT_BrainPort_HighwayPilot_Anomaly: Data sent from detecting vehicle to the service, and from service to vehicles Dataset Description This dataset contains information about all the detected anomalies on the road AUTOPILOT_BrainPort_HighwayPilot_AnomalyImage: Data sent from detecting vehicle to service Dataset Description This dataset contains images of the detected anomalies AUTOPILOT_BrainPort_HighwayPilot_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_HighwayPilot_EnvironmentSensorsAbsolute: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with absolute coordinates AUTOPILOT_BrainPort_HighwayPilot_EnvironmentSensorsRelative: Data extracted from the vehicle environment sensors Dataset Description This dataset contains information about detected object, with relative coordinates AUTOPILOT_BrainPort_HighwayPilot_Hazard: Data sent from service to vehicle Dataset Description This dataset contains specific information for a vehicle about anomalies and hazards AUTOPILOT_BrainPort_HighwayPilot_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_HighwayPilot_PositioningSystem: Data from GPS on the vehicle Dataset Description This dataset contains speed, longitude, latitude, heading from the GPS AUTOPILOT_BrainPort_HighwayPilot_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_HighwayPilot_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

Detection, Automated driving, Sensors, Camera, Obstacle detection

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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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