Abstract:
Scenario description: Test session for fallen bicycle with AD and connected vehicle
Session description: The fallen bicycle use case aims to demonstrate the possibility for a vehicle to detect in advance, using V2X communication, the presence of a fallen bicycle on the road. In case of fall, the bicycle signals its presence to the other vehicles using DENM messages. The AD car safely reduces its speed and stops.
Datasets descriptions:
AUTOPILOT_Livorno_UrbanDrivi (...)
Scenario description: Test session for fallen bicycle with AD and connected vehicle
Session description: The fallen bicycle use case aims to demonstrate the possibility for a vehicle to detect in advance, using V2X communication, the presence of a fallen bicycle on the road. In case of fall, the bicycle signals its presence to the other vehicles using DENM messages. The AD car safely reduces its speed and stops.
Datasets descriptions:
AUTOPILOT_Livorno_UrbanDriving_Vehicle_all: Data generated from the vehicle sensors
This dataset refers to the vehicle datasets generated from the vehicle sensors during Urban Driving in Livorno. This includes the data coming from the CAN bus and GPS. It includes following kind of dataset: Vehicle: general data (speed, battery); PositioningSystem: data from GPS; VehicleDynamics: data about dynamic (acceleration...); LateralControl: steering and lane control data
AUTOPILOT_Livorno_UrbanDriving_V2X_all: V2V messages during platooning sessions
This dataset refers to the V2V messages exchanged between ITS stations (vehicles and RSUs) during the Urban Drining in Livorno.
AUTOPILOT_Livorno_UrbanDriving_IoT_all: Data extracted from IoT oneM2M platform
This dataset refers to messages exchanged by Urban Driving devices, applications and services across the oneM2M platform.
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