A method in which the position of the center of gravity of a moving motor vehicle is ascertained, wherein at least one set of related input variables is taken into consideration, and the set of input variables includes at least a longitudinal acceleration of the motor vehicle, a lateral acceleration of the motor vehicle, a yaw rate of the motor vehicle and at least one wheel rotational speed, in particular four wheel rotational speeds, wherein the set of input variables is ascertained during a steady-state driving maneuver, and a quantity of possible center of gravity positions is defined as classes and, by a learning-based classification method, on the basis of the set of input variables, a class is selected which indicates an estimated center of gravity position. A control unit for carrying out the method is also disclosed.

A system for preventing rolling-over of vehicles is disclosed: The system may include: at least one camera attached to a portion of the vehicle such that images capture by the camera include a portion of the vehicle and a portion of a surrounding area; a communication module; and a controller configured to: receive from the camera, via the communication module, at least one image; receive data related to the parameters of the vehicle; calculate a relative position between the vehicle and a ground based on the received at least one image; calculate a location of the vehicle's center of gravity based on the received at least one image and the data related to the parameters of the vehicle; and determine a probability of rolling-over the vehicle based on the calculated center of gravity and the relative position.

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.

An apparatus that detects a tilt, lean, movement and/or rotation and/or change in tilt, lean, position and/or rotation of a user, rider, and/or payload which may use sensors configured to accomplish this detection, where sensors may be on, embedded in and/or attached to a structural device, strap, and/or surface of a vehicle, structure or system, where an apparatus of the present invention may be on, part of, in, attached to or connected to a vehicle, structure or system where detecting, measuring and/or determining a lean, tilt, movement and/or rotation or change thereof, of a user, rider, and/or payload, may be desirable; position or movement and/or center of mass or change thereof may be calculated, or detected; calculations, measurements, metrics or detections from the present invention may be an output or the only output of an apparatus that is an embodiment of the present invention.

An apparatus that detects a tilt, lean, movement and/or rotation and/or change in tilt, lean, position and/or rotation of a user, rider, and/or payload which may use sensors configured to accomplish this detection, where sensors may be on, embedded in and/or attached to a structural device, strap, and/or surface of a vehicle, structure or system, where an apparatus of the present invention may be on, part of, in, attached to or connected to a vehicle, structure or system where detecting, measuring and/or determining a lean, tilt, movement and/or rotation or change thereof, of a user, rider, and/or payload, may be desirable; position or movement and/or center of mass or change thereof may be calculated, or detected; calculations, measurements, metrics or detections from the present invention may be an output or the only output of an apparatus that is an embodiment of the present invention.

An apparatus that detects a tilt, lean, movement and/or rotation and/or change in tilt, lean, position and/or rotation of a user, rider, and/or payload which may use sensors configured to accomplish this detection, where sensors may be on, embedded in and/or attached to a structural device, strap, and/or surface of a vehicle, structure or system, where an apparatus of the present invention may be on, part of, in, attached to or connected to a vehicle, structure or system where detecting, measuring and/or determining a lean, tilt, movement and/or rotation or change thereof, of a user, rider, and/or payload, may be desirable; position or movement and/or center of mass or change thereof may be calculated, or detected; calculations, measurements, metrics or detections from the present invention may be an output or the only output of an apparatus that is an embodiment of the present invention.

A computer includes a processor and a memory storing instructions executable by the processor to determine at least one of a vehicle pitch or a longitudinal center of gravity from data measured while deactivating a first brake for a first axle and applying a second brake for a second axle, and operate the vehicle based on the at least one of vehicle pitch or longitudinal center of gravity. The instructions may further include to determine a vehicle weight from the data, and operate the vehicle based on the vehicle weight.

An augmented traction system for a two-wheeled vehicle comprising a CMG (control moment gyroscope) system including a plurality of CMGs to provide a first torque vector to decrease a roll angle of a turn of the vehicle and to increase force on one or more of the tires of the vehicle on a road surface, a steering system for the vehicle, the steering system to determine a steering control for the turn of the vehicle at a particular vehicle speed and roll angle, based on sensor data, and an aerodynamic control system to actuate one or more aerodynamic elements of the vehicle, the one or more aerodynamic elements to provide a second torque vector to decrease the roll angle of the vehicle.

A method, device, and computer-readable medium for checking whether a rolling chassis on which a vehicle body is arranged, is being used admissibly is provided. A first specification signal is received which represent a first specification of the rolling chassis. The first specification comprises stipulations for admissible use of the rolling chassis in a motor vehicle. A motor vehicle state signal is received which represent a motor vehicle state. The rolling chassis is checked to determine whether the rolling chassis is being used in accordance with the stipulations for admissible use based on the first specification and the motor vehicle state. A result signal is generated which represent a result of the check, and the generated result signal is output.

A universal machine learning based system for estimating a vehicle state of a vehicle includes one or more controllers executing instructions to receive a plurality of dynamic variables and corresponding historical data. The controllers execute a sensitivity analysis algorithm to determine a sensitivity level for each dynamic variable and corresponding historical data and select two or more pertinent dynamic variables based on the sensitivity level of each dynamic variable and the corresponding historical data. The controllers standardize the two or more pertinent dynamic variables into a plurality of generic dynamic variables, wherein the plurality of generic dynamic variables are in a standardized format that is applicable to any configuration of vehicle, and estimate the vehicle state based on the plurality of generic dynamic variables by one or more machine learning algorithms.