Assistance method to improve performance in driving a car demonstrating difficult performance through an autonomous driving system triggered by the driver

1. A method for a performance-enhancing driver assistance (PE) of a road vehicle ( 1 ) driven on a track ( 8 ) by a driver (DR); the method comprising:

defining, only once during a design and development phase, a dynamic model (DM) of the road vehicle ( 1 );

determining, in use, an actual position and orientation of the road vehicle ( 1 ) on the track ( 8 ) by means of a localization device ( 3 );

detecting, in use, a plurality of space data concerning the structure of the track ( 8 );

detecting, in use, a plurality of dynamic data (DD) of the road vehicle ( 1 ) by means of a control system ( 5 );

determining, in use, in an automatic manner completely independent of the driver (DR) and cyclically, a passing through point (PTP) of the road vehicle ( 1 ) arranged in front of the road vehicle ( 1 ) and at a given distance from the road vehicle ( 1 ) along a path followed by the road vehicle ( 1 );

solving, through the use of the dynamic model (DM) of the road vehicle ( 1 ), an optimum control problem (OCP) aimed at optimizing a cost function (CF), taking into account, as boundary conditions, a plurality of environmental data (ED), the actual position (AP) and the passing through point (PTP), so as to compute a mission (M) optimizing the cost function (CF) from the actual position (AP) of the road vehicle ( 1 ) to the passing through point (PTP) of the road vehicle ( 1 ); and

driving, by means of a control unit ( 11 ) and following a selection of the driver (DR) through a dedicated operating device ( 12 ), the road vehicle ( 1 ) in an autonomous manner so as to show to the driver (DR) the mission (M) optimizing the cost function (CF).

2. The method according to claim 1 and comprising the further step of having the driver (DR) to replicate the mission (M) shown by the road vehicle ( 1 ) during the road vehicle ( 1 ) autonomous driving step.

3. The method according to claim 2 further comprising, following the step of replicating the mission (M), estimating a driving ability of the driver (DR) so as to point out possible errors made during the replication.

4. The method according to claim 3 , wherein the driving ability of the driver (DR) is estimated by comparing ideal behaviours with at least one of the use of a brake pedal (BP) the use of a transmission (M), the use of a steering wheel (SW), the use of a gas pedal (GP), the wear of one or more tyres, the use of oversteering and understeering, and a trajectory following the estimation of the driving ability, a result classifying the estimated driving ability is communicated to the driver (DR).

5. The method according to claim 1 and comprising the further step of detecting, in use, the plurality of environmental data (ED) concerning an environment in which the road vehicle ( 1 ) operates by means of advanced driver assistance system (ADAS) devices ( 4 ).

6. The method according to claim 5 , wherein the plurality of environmental data (ED) comprises at least one of the position and the height of one or more curbs (C).

7. The method according to claim 5 , wherein the plurality of environmental data (ED) comprises at least one of an outdoor humidity and a temperature of an asphalt.

8. The method according to claim 5 , wherein the plurality of environmental data (ED) comprises at least one of a presence of obstacles in front of the road vehicle ( 1 ) and a position of cars to be surpassed.

9. The method according to claim 1 , wherein:

the mission (M) comprises an optimal trajectory determined depending on at least one of the actual position (AP) of the road vehicle ( 1 ), on the passing through point (PTP), on the dynamic data (DD) of the road vehicle ( 1 ) and on the environmental data (DD); and

when covering the optimal trajectory, the road vehicle ( 1 ) moves from the actual position (A) to the passing through point (PTP) optimizing the cost function (CF).

10. The method according to claim 1 , wherein the cost function (CF) to be optimized, in particular minimized, is a time needed to go from the actual position (AP) to the passing through point (PTP).

11. The method according to claim 1 and comprising, in case the driver (DR) dangerously strays from the mission (M), the further step of helping the driver (DR) and restoring a safety condition.

12. A road vehicle ( 1 ) comprising:

a localization device ( 3 ) configured to identify an actual position and orientation of the road vehicle ( 1 );

a control system ( 5 ) configured to detect a plurality of dynamic data (DD) of the road vehicle ( 1 );

a calculation unit ( 6 ) configured to solve, through the use of a dynamic model (DM) of the road vehicle ( 1 ), an optimum control problem (OCP) aimed at optimizing a cost function (CF), taking into account, as boundary conditions, a plurality of environmental data (ED), an actual position (AP) and a passing through point (PTP) of the road vehicle ( 1 ), and to process a mission (M) optimizing the cost function (CF) from the actual position (AP) of the road vehicle ( 1 ) to the passing through point (PTP) of the road vehicle ( 1 ); and

a control unit ( 11 ) configured to control the vehicle ( 1 ) so as to show to the driver (DR) the mission (M) optimizing the cost function (CF).

13. The road vehicle ( 1 ) according to claim 12 and comprising a plurality of actuator devices configured to move at least one of a steering wheel (SW), a brake pedal (BP), a gas pedal (GP) and a shift gear.

14. The road vehicle ( 1 ) according to claim 12 and comprising one or more advanced driver assistance system (ADAS) devices ( 4 ) configured to detect a plurality of environmental data (ED) concerning the environment in which the road vehicle ( 1 ) operates; in particular, the vehicle ( 1 ) comprises an interface device ( 9 ) configured to suggest to the driver (DR), depending on the plurality of dynamic data (DD), one or more corrective actions to be carried out in order to accomplish the mission (M) optimizing the cost function (CF).