A representation of a first set of weights associated with a vehicle prior to a drive are received, the vehicle including a plurality of axles, a plurality of wheels attached to the plurality of axles, and a load. A warning is caused to be output in response to at least one weight from the first set of weights being outside a predetermined range. Longitudinal and lateral dynamics associated with the vehicle during the drive are determined. A second set of weights associated with at least one axle from the plurality of axles during the drive are determined. A determination is made if at least one remedial action should be performed based on the longitudinal dynamics, the lateral dynamics, and the second set of weights. In response to determining that the at least one remedial action should be performed, the at least one remedial action is caused to be performed.

A center of gravity estimation device includes a tilt cylinder pressure sensor detecting a pressure on a rod side of the tilt cylinder, a tilt cylinder pressure sensor detecting a pressure on a bottom side of the tilt cylinder, a lift cylinder pressure sensor detecting a pressure of a lift cylinder, and an electronic control unit performing estimation calculation of a center of gravity of a cargo W loaded on a fork using the pressure on the rod side of the tilt cylinder, the pressure on the bottom side of the tilt cylinder, the pressure of the lift cylinder, and data on a structure of a cargo handling device.

A vehicle includes a driving support system that sets an action plan for driving support of the vehicle, a motion manager including one or more processors that arbitrate a plurality of action plans set by the driving support system, and an actuator system to which a motion request generated using a result of arbitration by the motion manager is distributed. The one or more processors of the motion manager predicts a total weight of the vehicle and a position of a center of gravity of the vehicle, and correct the motion request based on the predicted total weight and the predicted position of the center of gravity.

A method is provided for steering control of a vehicle by using lateral velocity of two know points (or lateral velocity of one known point and yaw rate), longitudinal velocity and steer angle information. These factors are used to calculate a target steer angle based on the track angle based on yaw decomposition to thus adjust a current steer angle of the vehicle based on the target steer angle.

A vehicle operable to pull a trailer comprising a payload is provided, that includes a plurality of sensors configured to capture sensor data related to the vehicle, the trailer, or both, and a controller configured to (i) receive the sensor data from the plurality of sensors, (ii) determine, based on the sensor data, one or more parameters associated with the trailer, the payload, or both, (iii) update, based on an analysis of the one or more parameters, a confidence level associated with an operation of the vehicle with the trailer and the payload, and (iv) based on the confidence level, responsively execute an autonomous control strategy comprising one or more adjustments to the operation of the vehicle.

A control allocation system for a vehicle includes an electric power steering (EPS) system, one or more redundant actuation systems for controlling a plurality of wheels of the vehicle, and one or more controllers in electronic communication with the EPS system and the one or more redundant actuation systems. The one or more controllers execute instructions to determine tracking errors and vehicle dynamics states based on a plurality of local path planning references and receive a fault signal indicating the EPS system is non-functional. In response to receiving the fault signal, the one or more controllers determine a plurality of corrective constraints in real-time. The one or more controllers solve a real-time constrained optimization problem for each sampling interval of the control allocation system to determine a plurality of control actions based on the plurality of corrective constraints and the tracking errors.

A vehicle includes a body including suspension components, multiple wheels coupled to the body, a suspension sensor coupled to one of the suspension components or at least one of said multiple wheels, a camera, a display connected to the camera to display at least part of the camera view, a processor receiving inputs from the suspension sensor, and memory coupled to the processor. The memory includes a program from which an actual horizontal wheel position relative to a path of travel of the vehicle is determined as a function of a vertical position of the at least one of said multiple wheels. And the processor causes an image representative of the actual horizontal wheel position to appear on the display, and wherein vertical is in the direction of gravity and horizontal is perpendicular to the direction of gravity.

A method for determining the values of parameters for a controller of a vehicle, wherein respective error measures are calculated for different sets of values and a set of values is selected based on the error measures.

An apparatus for grade severity detection in a motorized vehicle includes a first sensor and a second sensor that provides data to a controller. The first sensor is configured to generate motion data indicative of at least one wheel of the motorized vehicle. The second sensor generate data, which is indicative of torque for at least one wheel of the motorized vehicle. The controller is configured to calculate a pitch of the motorized vehicle based on the torque data and one or more acceleration values derived from the position data and configured to perform a comparison of the calculated pitch to a pitch threshold. A grade severity message is generated based on the comparison.

According to one embodiment, a method, computer system, and computer program product for preventing tipping of a load during transport by a vehicle is provided. The present invention may include retrieving a tipping point of the load, based on a center of gravity of the load, a speed of the vehicle, and a turning radius of the vehicle, wherein the tipping point is based on a simulation utilizing finite element analysis; and responsive to determining that the center of gravity of the load is within a threshold distance of the tipping point, taking a corrective action which may include controlling the speed or turning radius of the vehicle.