A method for the performance-enhancing driver assistance of a road vehicle driven by a driver. The method comprises the steps of detecting a plurality of dynamic data (DD) of the vehicle by means of a control system, suggesting to the driver, by means of an interface device and depending on the plurality of dynamic data, one or more corrective actions to be carried out in order to accomplish a mission optimizing a cost function, and estimating the driving ability of the driver in order to obtain a driver rating value, based on which the corrective actions to be suggested are to be changed.

A method for the performance-enhancing driver assistance of a road vehicle. The method comprises the steps of defining a dynamic model of the road vehicle, determining the actual position and orientation of the road vehicle, detecting a plurality of environmental data, detecting a plurality of dynamic data, determining a passing through point of the road vehicle arranged in front of the road vehicle, solving an optimum control problem aimed at optimizing a cost function), taking into account, as boundary conditions, the plurality of environmental data, the actual position and the passing through point, so as to compute a mission optimizing the cost function from the actual position of the vehicle to the passing through point of the vehicle.

A communication control system includes: first/second control unit configured to control vehicle; first relay unit communicatively connected to the first control unit and having input unit to which data signal from diagnostic unit diagnosing state of the vehicle is input; second relay unit communicatively connected to the second control unit; first communication line communicatively connecting the first relay unit and the second relay unit; and second communication line disposed in parallel to the first communication line and communicatively connecting the first/second relay units. The data signal input to the first relay unit includes identification information. The first relay unit controls flow of data so that the data signal input to the first relay unit is transmitted through the second communication line when the data signal input to the first relay unit includes the identification information set to be communicated through the second communication line.

Aspects of the disclosure relate to controlling a vehicle in an autonomous driving mode. For instance, a trajectory is identified. The trajectory defines a future desired path for the vehicle and includes a control requirement having a corresponding point in time. A command for achieving the control requirement is generated. A fixed delay value corresponding to a delay caused by transmission of the command to an actuator of the vehicle is generated. A variable delay value corresponding to a delay caused by an amount of time to change a physical state of the actuator to a desired state according to the command is generated. The command is then sent to the actuator based on the fixed delay value, the variable delay value, and so that the actuator causes the vehicle to move according to the command.

The present disclosure relates to a method for controlling at least one drive assistance system of a motor vehicle, a device for carrying out the steps of this method and a system including such a device. The disclosure also relates to a motor vehicle including such a device or such a system.

In various embodiments, a driver sensing subsystem computes a characterization of a driver based on physiological attribute(s) of the driver that are measured as the driver operates a vehicle. Subsequently, a driver assessment application uses a confidence level model to estimate a confidence level associated with the driver based on the characterization of the driver. The driver assessment application then causes driver assistance application(s) to perform operation(s) that are based on the confidence level and modify at least one functionality of the vehicle. Advantageously, by enabling the driver assistance application(s) to take into account the confidence level of the driver, the driver assessment application can improve driving safety relative to conventional techniques for implementing driver assistance applications that disregard the confidence levels of drivers.

A traveling assistance apparatus controls a safety apparatus for avoiding collision between an own vehicle and an object, based on detection information from an object detection apparatus. The assistance apparatus calculates a predicted time to collision of a target object and the own vehicle, and operates the safety apparatus in response to the predicted time to collision being equal to or less than a predetermined operation timing. In response to a steering operation by a driver for collision avoidance of the own vehicle being performed, the assistance apparatus performs operation-stop in which operation of the safety apparatus is stopped or operation-delay in which the operation timing is delayed. The assistance apparatus suppresses the operation-stop or the operation-delay in response to a target object serving as a collision avoidance target being recognized in a path of the own vehicle after the steering operation by the driver, based on the detection information.

A vehicle learning system includes a first execution device mounted on a vehicle, a second execution device outside the vehicle, and a storage device. The storage device stores mapping data including data, which is learned by machine learning and defines mapping that receives input data based on a detection value of an in-vehicle sensor and outputs an output value. The first execution device and the second execution device execute, in cooperation with each other, an acquisition process of acquiring input data, a calculation process of calculating an output value with the input data as an input of the mapping, and a relationship evaluation process of evaluating a relationship between a predetermined variable different from a variable corresponding to the output value and accuracy of the output value. The first execution device executes at least the acquisition process, and the second execution device executes at least the relationship evaluation process.

The disclosure includes embodiments for testing a third-party feature for compatibility and integration with an Original Equipment Manufacturer (OEM) vehicle design. A method includes modifying a vehicle design to include a third-party feature, where modifying the vehicle design generates a modified vehicle design. The method includes executing a simulation based on the modified vehicle design. The method includes extracting, from the simulation, a third-party temporal logic of the third-party feature. The method includes determining, based on the third-party temporal logic, an indication of whether the third-party feature is compliant with the vehicle design.

Systems and methods for operating a vehicle that may be driven to or sold in different geographical locations that may have different engine emissions and fuel economy standards are described. The systems and methods may adjust vehicle operation to comply with standards that may be enforced where the vehicle is geographically located. The standards may apply to countries, treaty zones, race track areas, off-road areas, and other geographically related standards.