The present invention consists in determining at least one dangerous driving indicator (IND) by means of a physical model (MOD) based on the dynamics of the vehicle. According to the invention, the dynamic model (MOD) of the vehicle makes it possible to determine a slip parameter (, SR) of the vehicle, which is used to deduce a representative dangerous driving indicator (IND).

Methods of estimating a weight of a vehicle and using the information are provided. Kinematic data of the vehicle, including at least one of a velocity or an acceleration of the vehicle, can be measured at a time. This data can be processed to estimate a weight of the vehicle. This data can be used to adjust autonomous driving, confirm a weight of freight carried by the vehicle, transmitted to external devices, or used in other ways.

A driver command interpreter system for a vehicle includes one or more controllers that execute instructions to receive a plurality of dynamic variables, vehicle configuration information, and driving environment conditions, and determine a target vehicle state during transient driving conditions based on the plurality of dynamic variables from the one or more sensors, the vehicle configuration information, and the driving environment conditions. The one or more controllers build a transient vehicle dynamic model based on the target vehicle state during transient driving conditions, the plurality of dynamic variables, the vehicle configuration information, and the driving environment conditions, and solve for desired zeros corresponding to the target vehicle state during transient conditions.

A method for planning a driving maneuver trajectory is disclosed. The method includes 1) evaluating a current driving situation; 2) ascertaining an adapted driving maneuver based on the evaluated driving situation; 3) calculating a number of working points of the trajectory on the basis of the evaluated driving situation and the ascertained driving maneuver; 4) discretizing the current surroundings information and/or vehicle information at each of the working points of the trajectory; 5) selecting and integrating relevant surroundings data for each working point based on domain-specific information; 6) linearizing the selected and integrated surroundings data; 7) using the linearized surroundings data to formulate a QP model; 8) solving the QP model by means of a QP solver; and 9) repeating 1) to 8) on the basis of a convergence of the solution, wherein upon repeating steps 1) to 8), the solution of the QP solver is taken into consideration.

A method for reducing off-tracking by a multi-trailer heavy duty vehicle during a maneuver is disclosed. The method obtains a model of vehicle dynamics describing dynamics of the multi -trailer heavy duty vehicle, determines respective force trajectories for two or more axles of the vehicle as a solution to a NOCP. The NOCP is formulated with an objective to at least minimize trailer off-tracking, and based on the model of vehicle dynamics. The motion of the heavy duty vehicle is controlled during the maneuver based on the determined force trajectories.

An apparatus for controlling a vehicle includes a vehicle additional yaw moment calculator that calculates, based on a yaw rate of a vehicle, a vehicle additional yaw moment to be applied to the vehicle independently of a steering system, a slipping condition determiner that makes a determination as to a slipping condition of the vehicle, and an adjustment gain calculator that calculates an adjustment gain to adjust the vehicle additional yaw moment so as to reduce the vehicle additional yaw moment additional yaw moment when the vehicle is determined to be in the slipping condition, and increases the adjustment gain in accordance with a degree of a slip of the vehicle when the vehicle is determined to recover from the slipping condition.

A controller is provided for operating a system under admissible states. The controller includes an interface configured to connect the system storing a set of measured system states, a set of reference inputs and a set of system parameters in a storage arranged inside or outside the system, a memory storing measured system states, admissible reference inputs and admissible parameter sets and computer-executable programs including a parameter estimator and an adaptive reference governor (ARG), a processor, in connection with the memory. The processor is configured to perform the ARG and the parameter estimator. The parameter estimator extracts a pair of a reference input and the system state and compute a system parameter estimate based on the reference input and system state. The ARG is configured to update the reference input and compute a parameter-robust constraint admissible set based on the updated reference input and the system states, wherein the ARG generates and transmits a reference input to the system based on the parameter-robust constraint admissible set.

A device for determining positional information relating to the position of a vehicle is configured to determine a measured value of an acceleration vector of the vehicle, and to determine a value of a dynamic component of the measured value of the acceleration vector caused by a movement of the vehicle. The device is further configured to determine an estimated value of the gravity vector based on the measured value of the acceleration vector and based on the value of the dynamic component, and to determine positional data relating to the position of the vehicle based on the estimated value of the gravity vector.

A method is provided for calculating a driver's desired yaw rate of a vehicle for use in a vehicle movement control system and includes determining the current yaw rate of the vehicle, determining the rate of the vehicle's steering wheel rotation. The method further includes calculating a first desired yaw rate of the vehicle based on the determined current yaw rate of the vehicle and the determined rate of the vehicle's steering wheel rotation, the desired yaw rate being further calculated based on the assumption that the driver applies a rate of steering wheel rotation as function of the driver's perceived error in yaw rate, and finally the step of providing the first desired yaw rate as an input to the vehicle movement control system for controlling the vehicle.

A method for generating a lateral offset trajectory for an at least partially automated mobile platform. The method includes: providing a target lateral offset; inverting a provided dynamic model of the mobile platform; providing at least one limit of a system variable of the dynamic model for determining the lateral offset trajectory; determining a time sequence of lateral offset trajectory points for the inverted dynamic model with a state variable filter, based on the limit(s) of the system variable, and the target lateral offset as an input signal; and determining a time sequence of values of at least one manipulated variable for the mobile platform, using the inverted dynamic model and the time sequence of the lateral offset trajectory points as an input signal for the inverted dynamic model, to generate the lateral offset trajectory.