An estimation device is provided with a braking-driving force acquiring unit that acquires, based on a signal from a sensor that detects a force, braking-driving force information as information indicating a braking force or a driving force applied to wheels of the vehicle; a wheel load acquiring unit that acquires, based on the braking-driving force information, a wheel load received by the wheels from a road surface; and an estimation unit that estimates, based on a value of the wheel load of each wheel included in the vehicle, a gravity center position of the vehicle.

A method for estimating a friction between a road surface and a tire of a steered wheel of a vehicle. The steered wheel being fit with dynamic steering. The vehicle includes a steering wheel and a set of sensors comprising wheel end sensors and steering wheel sensors configured to measure signals corresponding to a set of parameters., The steering wheel parameters comprising at least a steering wheel torque and a steering wheel angle. The method comprising the following steps implemented by the electronic control unit collect the signals, corresponding to the set of parameters, measured by the sensors during a period of time; process, by the signal processing module, the signals collected to provide processed signal data provide the processed signal data as input to the wheel end friction estimation model, the wheel end friction estimation model being configured to output a friction estimation of the friction between the road surface and the tire of the wheel.

A device for detecting an abnormal state of a tire includes a wireless transceiver spaced apart from the tire and coupled to a vehicle, where the wireless transceiver transmits a radio signal to a ground surface and acquires delay information required to receive a reflected wave from the ground surface, and a control module that calculates a reference distance between the wireless transceiver and the ground surface based on the delay information, and detects an abnormal state of the tire, based on a reference distance change.

A driving lane keeping control system includes a number of vehicles and a server. Each vehicle is configured to transmit wheel position information to the server. The server is configured to receive the wheel position information from each vehicle, to match the wheel position information with a detailed map to generate a moving trajectory of each vehicle, to analyze the generated moving trajectory of each vehicle to select an optimum moving trajectory, to generate virtual lane information based on the selected optimum moving trajectory, and to transmit the generated virtual lane information to at least one of the vehicles to enable the at least one vehicle to correct a driving position based on the virtual lane information.

A vehicle body side system has a second data communication unit that receives road surface data transmitted from a first data communication unit, a storage unit that stores teacher data, a road surface determination unit that determines a road surface state on a traveling road surface of a vehicle based on the road surface data and the teacher data, and a tire identification unit that identifies a predetermined type as an identification target and identifies which content the tire corresponds to in the type. The tire identification unit identifies the tire based on the identification data transmitted from the tire side device, and the road surface determination unit determines the road surface state using a teacher data corresponding to the tire identification result, when the road surface determination unit determines the road surface state.

Systems and methods are disclosed herein for automatically controlling wheel lean in a work vehicle (e.g., a motor grader) comprising a front portion with an axle and a plurality of traction wheels configured to lean at a wheel-lean angle relative thereto. Based on output signals from one or more sensors mounted on the work vehicle, work conditions are detected comprising an actual wheel-lean angle of at least one wheel relative to the axle, an oscillation angle of the axle, and a slope of the terrain. In automatic control operations, wheel lean is automatically directed to a predetermined orientation (e.g., corresponding to a direction of gravity), based at least on detected work conditions. Wheel lean may further be automatically directed based on detected steering inputs for positioning of the traction wheels and a detected articulation angle for positioning of the front portion of the work vehicle relative to the rear portion.

A road surface state determination apparatus includes a plurality of tire-side devices each of which detects vibration applied to corresponding tire and produces road surface data indicative of a road surface state based on data of the vibration, and a vehicle-body-side system that determines the road surface state based on the road surface data.

A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

The invention pertains to a road condition determining system and a method for determining a condition of a road traversed by at least one vehicle. The road condition determining system comprises a vehicle position determination means for determining a position of the vehicle, a calibration parameter detection unit adapted to determine at least one calibration parameter of a part of the vehicle, a vertical acceleration sensor adapted to continuously sense a vertical acceleration of the vehicle, a calculation unit adapted to calculate a road condition value based on the vertical acceleration and on the calibration parameter, and to continuously monitor whether the road condition value exceeds a predefined schedule, and a data transmission unit adapted to provide maintenance data to at least one receiver, the maintenance data comprising at least an information about the vehicle position.

A control system for controlling one or more torque generating devices on a heavy-duty vehicle comprising a primary sensor system with a primary sensor control unit configured to interpret an output signal of the primary sensor system, wherein the primary sensor control unit is configured to determine a first load value associated with the heavy-duty vehicle, and one or more tire sensor devices mounted on one or more tires of the heavy-duty vehicle, and a tire sensor control unit configured to interpret an output signal of the one or more tire sensor devices, wherein the tire sensor control unit is configured to determine a second load value associated with the heavy-duty vehicle, wherein the control system is arranged to base control of the heavy-duty vehicle on the second load value in case of malfunction in the primary sensor system and/or in the primary sensor control unit.