A method and system of controlling a vehicle includes providing a plurality of dynamic state inputs to a controller in the vehicle that is adapted to execute a plurality of control loops and further includes determining an operating mode of the vehicle. Based on the operating mode of the vehicle, a location of an optimum perceived yaw center of the vehicle is determined corresponding to a selected estimation technique using the dynamic state inputs and wherein the estimation technique is selected based upon the determined operating mode of the vehicle. The information related to the location of the optimum perceived yaw center may be used as input for controlling the vehicle in a dynamic state.

A method for determining implement load characteristics of a load carrying mobile machine includes receiving at least pressure data and position data associated with a payload received by the implement. The method also includes determining a locational value associated with the payload within the implement. The method further includes updating the locational value based on movement of the payload in the implement, the updated locational value being based at least on the pressure data, the position data, and predetermined physical parameters of the machine. The method further includes using the updated locational value to determine operational parameters of the machine.

A system is provided for evaluating vehicle performance. The system includes a function system model that models an operation of a function system of a vehicle and an operation of which is determined based on a control signal output from a controller within the vehicle. Additionally, the system includes a dynamic model configured to model a behavior of the vehicle based on the operation of the function system model.

A machine is disclosed. The machine may include a control system that includes a controller configured to: determine a center of gravity of the machine based on a state of the machine; determine at least one of a slope limit or a pitch limit for the machine based on the center of gravity; receive a command to perform an operation that, if performed, would affect at least one of a slope or a pitch of the machine; determine whether the operation, if performed, would cause the machine to exceed the at least one of the slope limit or the pitch limit; and selectively perform the operation based on determining whether the operation, if performed, would cause the machine to exceed the at least one of the slope limit or the pitch limit.

A method for monitoring the travel path of an industrial truck, comprising the steps of: determining a braking distance of the industrial truck on the basis of at least one operating parameter of the industrial truck, adjusting a travel path area monitored by a monitoring device on the basis of the determined braking distance by adjusting the alignment of the monitoring device, decelerating the industrial truck when an obstacle enters the travel path.

A method is provided for predicting a risk for rollover of a working machine for load transportation. The method includes: obtaining ground topographic data of a geographical area located close to the working machine from a ground topographic detection system; extracting a ground gradient from the ground topographic data; obtaining weight information of the load being currently transported by means of an on-board load weighting system or by receiving load information originating from the device that loaded the load being currently transported; determining a current maximal allowed ground gradient for the working machine based on the weight information; and predicting a risk for working machine rollover if the working machine approaches a geographical area including a ground gradient exceeding or being close to the current maximal allowed ground gradient for the working machine.

A mobile work machine includes a propulsion subsystem that propel the mobile work machine about a worksite. The mobile work machine includes a steering subsystem that steers the mobile work machine about the worksite. The mobile work machine includes a stability determination system that determines a stability factor based on a characteristic of the steering subsystem. The mobile work machine also includes a control system that controls the mobile work machine based on the stability factor.

Force-detecting sensors are installed in a motorcycle's handlebars, footpegs and seat to detect the rider's grip, weight and weight distribution. A control unit interprets the signals from the sensors to determine an attribute of the rider or an intention of the rider to make a manoeuvre. Signals from environmental sensors are used by the control unit to determine whether the intended manoeuvre would endanger the rider, and, if so, the rider is alerted before the manoeuvre is undertaken. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, of as little as a fraction of a second, a rider is given extra time to avert a potential accident. The control unit also controls settings of the motorcycle during a hazardous state of the motorcycle.

A system for detecting distribution of a weight of a payload in a dump body of a vehicle includes first sensors, second sensors, and a controller. The dump body is pivotable about pins to be selectively seated and titled to a frame of the vehicle. The first sensors are arranged between the dump body and the frame, and detect components of the weight of the payload exerted through the dump body when the dump body is seated relative to the frame. The second sensors are arranged correspondingly within the pins, and detect components of the weight of the payload exerted through the dump body. The controller determines a status of payload distribution in the dump body based on the component of the weight of the payload detected by the first sensors and second sensors, and generate a notification to indicate the status of payload distribution.

An apparatus of determining a target steering angle, may include: a feedforward steering angle calculator configured for determining a feed forward steering angle reflecting a yaw moment generated by torque vectoring during turning driving of an electric vehicle in autonomous driving; and an adder configured for obtaining a target steering angle by adding the determined feedforward steering angle to a feedback steering angle, the feedback steering angle being a steering angle measured through a steering angle sensor.