Autopilot Pilot sites



Automated driving scenarios


The challenging Urban Driving use case requires automated driving vehicles to identify, predict and react in an array of complex situations. Fully automated vehicles are tested driving from point A to B, without any input from the driver. The driver can at any time override or switch off the system.

All pilot sites of the project – Brainport, Livorno, Versailles, Vigo, Tampere and Daejeon City – will demonstrate the Urban Driving use case.

Highway Pilot

The Highway Pilot involves automated driving on motorways from entrance to exit, on all lanes, including overtaking. The driver must deliberately activate the system, but does not have to monitor it constantly. The system will not make requests to the driver to take over in a normal operation area such as the motorway. If vehicle-to-vehicle (V2V) communication is available from cooperative systems, ad-hoc convoys could also be created.

The Highway Pilot will be exploited at the Brainport pilot site in the Netherlands and at the Italian pilot site in Livorno.

Automated Valet Parking

Automated Valet Parking (AVP) is a driverless automated driving use case including on-street car drop-off, driving to and from a parking spot, forwards and backwards manoeuvring as well as on-street passenger pick-up.

Various AVP use cases will be deployed and evaluated in the Pilot Sites at Brainport, Tampere, Versailles and Vigo


Platooning comprises fully automated or driverless vehicles driving closely one after the other. The vehicles form a platoon as they follow a leading vehicle and use advanced V2V communications.

  • Two variants of platooning will be evaluated in the project:
    An urban variant to enable car rebalancing of a group of vehicles, involving only one driver. The scenario to be implemented in Versailles will start from a parking where the driverless vehicle will have to join the leading vehicle to form a platoon. The platoon will then move to another location, where driverless vehicles will also use automated parking.
  • A highway variant at Brainport in the Netherlands will test the electronic allowance of the emergency lane (dedicated lane)

IoT based automated driving services

City chauffeur services for tourists

This business case is an adaptation of car-sharing, dedicated for tourists to visit cities and places of interest. Versailles will offer this service from the Versailles train station (pick-up spot) to visit the city and the castle gardens. The added value of the service is to allow the driver to be free to follow a multimedia presentation in the vehicle of the surrounding sights.

Automated driving route optimization

The IoT service platform monitors vehicles and their environment to optimise automated driving routes of autonomous driving cars, by redistributing the traffic along alternative paths towards available parking spots. The relevant data tracked include, for instance, the real traffic conditions, weather conditions, events, available parking spots at the destination. This service is likely to contribute in predicting traffic for automated driving car sharing.

Real time car sharing

The objective is to allow commercial and individual car sharing possibilities using automated driving cars. The service platform collects the end user needs and uses the IoT platform relevant data to suggest car sharing (pick-up/drop-off) possibilities. Optimizing the allocation of the automated driving vehicles is achieved thanks to the availability of real time and reliable information about the vehicles’ current status and their scheduled routes.

Driverless car rebalancing

Car sharing vehicles are often not balanced in pick-up and drop-off locations. Automated driving vehicles have the capability to move driverless from their last drop-off zone towards another pick-up location. Two procedures are identified in AUTOPILOT to carry out the rebalancing:

-the cars move driverless autonomously one by one
-the cars are moved driverless in a platoon

HD maps for automated driving vehicles

This service aims at providing a High-Definition (HD) maps database for automated driving vehicles, built on the data collected by all connected vehicles. Two complementary approaches provided by the two major European tier 1 suppliers, Continental and Valeo, will contribute to the provision of this service.

6th sense driving

͞Drive with a 6th Sense͟ will involve using the vehicle’s on-board sensors to provide driving risk metrics contributing to the road assessment programme. 6th sense driving will also create specific metrics and services for road rating dedicated to the autonomous driving capabilities of the roads.

Dynamic eHorizon

Advanced electronic horizon with permanent connectivity and the IoT will dynamically update an IoT based HD map data service. Data from other vehicles’ sensors and from other sources in real time is used to factor in dynamic changes to the route and thus increase automated driving efficiency

Electronic Driving License

GEMALTO proposes the secured mobile identity management to end-users for automated driving vehicles. Using mobile security, software (SW) components will generate and store one secured identity profile referring to an electronic driving license. The identity profile will allow a dedicated access to any smart city platform. The user mobile, using the identity profile, will act as a wallet containing the User Id, the driving license, or any other personal document.