A vehicle may include a sensor configured to acquire detecting data including front road surface information; a suspension including a spring and a damper; and a controller including a processor and a memory; wherein the controller is configured to identify an unevenness of the front road surface based on the detecting data and control the suspension based on damping force setting information corresponding to the unevenness when the vehicle reaches the unevenness.

Motion can be induced at a vehicle, e.g., by actuating components of an active suspension system, and first sensor data and second sensor data representing an environment of the vehicle can be captured at a first position and a second position, respectively, resulting from the induced motion. A second sensor can determine motion information associated with the first position and the second position. Calibration information about the sensor, the first sensor data, and the motion information can be used to determine an expectation of sensor data at the second position. A calibration error can be the difference between the second sensor data and the expected sensor data.

A technology can be realized which increases the sense of unity with a vehicle that is felt by a driver. A suspension control device, which controls the damping force of the suspension of a vehicle, comprises a target control amount calculation unit which sets a target control amount, that is referenced when controlling the damping force of the suspension, such that the period of the phase of the roll angle and the period of the phase of the pitch angle of the vehicle approach a synchronized state, such that the magnitude of the expansion-side damping force is greater than the magnitude of the contraction-side damping force on the front-wheel-side of the vehicle, and such that the contraction-side damping force is greater than or equal to the expansion-side damping force on the rear-wheel-side of the vehicle.

A method for setting the lifting position of a machine frame of a ground milling machine, which machine frame is connected via lifting means to movement means, and to a ground milling machine.

Provided are a vehicle, a vehicle motion state estimation apparatus, and a method for estimating a vehicle motion state capable of highly accurately estimating a state quantity of a bounce motion of a vehicle having a non-linear suspension characteristic. The vehicle motion state estimation apparatus in a vehicle, in which wheels and a vehicle body are coupled via a suspension, includes a bounce motion estimation unit that estimates and outputs a state quantity of a bounce motion of the vehicle based on traveling state information of the vehicle, and a correction value estimation unit that calculates a correction value to correct an output the bounce motion estimation unit. The correction value estimation unit calculates the correction value in consideration of a non-linear characteristic of the suspension.

Disclosed is an automatic vehicle suspension tuning system. The system has a control module to receive user input, an ECU with a processor and a memory, one or more road condition sensors, and one or more controllable suspension system components. The ECU controls the adjustments of the controllable suspension system component in response to user input to the control module as well as input from the road condition sensors during operation of the vehicle. A method of tuning a controllable suspension system component is also disclosed.

An active control system for a mass traveling along a guideway and method for active control of a mass traveling along a guideway. The active control system includes at least one displacement sensor and at least one motion sensor. Signals from the at least one displacement sensor and the least one motion sensor are processed to adjust a displacement of a reference location on the mass from a fixed reference.

A machine for road work can comprise a frame, a plurality of ground engaging units, a plurality of vertically moveable legs, each leg connecting one of the plurality of ground engaging units to the frame, a pair of spatial sensors, such as global navigation satellite system (GNSS) sensors, and a controller configured to, in response to a three-dimensional signal received from each of the spatial sensors, activate at least some of the plurality of vertically moveable legs.

Methods are provided for controlling various systems in a vehicle based on input signals from at least one physical sensor and at least one model of a vehicle or a portion of the vehicle. The controller a rely preferentially on one or the other inputs based on the frequency of a motion of the vehicle and the state of the vehicle or one or mor portions of the vehicle.

A vehicle powertrain proactive damping system includes a plurality of proactive damping structures mounted on a powertrain structure with each proactive damping structure includes a magneto rheological elastomer (MRE). An electromagnet is associated with each proactive damping structure. A control unit includes a processor circuit. A sensor obtains vibration data regarding the powertrain structure. A LIDAR sensor is mounted on the vehicle and is electrically connected with the control unit. The LIDAR sensor provides data to the control unit indicative of upcoming road surface conditions to be experienced by the vehicle. Based on data from at the sensor and the LIDAR sensor, the processor circuit is constructed and arranged to control voltage to the electromagnets to selectively adjust a rigidity of the associated proactive damping structure so as to control vibrational effects on the powertrain structure.