A vehicle position estimation method includes: acquiring time-series data of a parameter related to a vertical motion of a wheel while the vehicle is traveling; acquiring the parameter around the vehicle, as a reference parameter, from a parameter map indicating a correspondence relationship between the parameter and a position; estimating a vehicle position based on a comparison between the time-series data of the parameter and time-series data of the reference parameter. Meanwhile, road surface roughness around the vehicle in a lateral direction and a lateral position of the vehicle in a road are recognized by using a recognition sensor installed on the vehicle. When the road surface roughness is less than a threshold, a lateral position component of the estimated vehicle position is replaced with the lateral position recognized by using the recognition sensor.

A robot includes a body having an internal opening. The robot further includes a first wheel configured to deploy out of the internal opening and to retract into the internal opening. The robot further includes a second wheel configured to deploy out of the internal opening and to retract into the internal opening. The robot further includes a sensor configured to determine a location of the robot. The robot further includes a controller configured to control each of the first wheel and the second wheel, wherein in response to the location of the robot being at a predetermined location, the controller is configured to cause the second wheel to deploy out of the internal opening and to cause the first wheel to retract into the internal opening.

A suspension system and associated control methods for improving comfort by disabling passive pitch stiffness in the suspension system by holding open electromechanical comfort valves positioned in a manifold assembly of the suspension system. The manifold comfort valves are held open to disable the passive pitch stiffness of the suspension system if the vehicle is traveling down a rough road or if the vehicle is approaching a discrete road event like a pot-hole or speed bump. Deactivation of the passive pitch stiffness of the suspension system is determined based on road classification information, saved road events, and/or real-time vehicle data from on-board sensors. The suspension system therefore reduces pitch angles during pitch events induced by inertial forces caused by driver inputs and disables the pitch stiffness when the pitch event is caused by road inputs.

The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

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.

An active suspension device includes: a preview sensor that detects a height of a road surface in front of a wheel; and an ECU that controls a stroke of a suspension to perform a preview control. The ECU includes: a front wheel preview control part that performs a preview control; a preview control success determination part that determines whether the preview control is successful; and a rear wheel control part that controls a stroke of a suspension of a rear wheel. When the preview control of the front wheel is successful, the rear wheel control part performs a preview control and a skyhook control of a rear wheel to control the stroke of the suspension of the rear wheel. When the preview control of the front wheel is unsuccessful, the rear wheel control part cancels the preview control of the rear wheel and perform the skyhook control of the rear wheel.

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.

An active control system for vehicle suspensions includes a detection module which detects a vehicle running state and a front road condition by means of an advanced mode or a standard mode; a calculation module which comprehensively calculates, in combination with running data and dimensions of a vehicle and the front road condition data collected by the detection module and according to passenger comfort requirements, target data of adjustment; and an implementation module which adjusts a height of each suspension of the vehicle according to the target data obtained by the calculation module.

The disclosure relates generally to methods, systems, and apparatuses for automated or assisted driving and more particularly relates to identification, localization, and navigation with respect to bollard receivers. A method for detecting bollard receivers includes receiving perception data from one or more perception sensors of a vehicle. The method includes determining, based on the perception data, a location of one or more bollard receivers in relation to a body of the vehicle. The method also includes providing an indication of the location of the one or more bollard receivers to one or more of a driver and component or system that makes driving maneuver decisions.

A vehicle includes a chassis, an axle, and a sway bar assembly coupled between the chassis and the axle. At least one actuator is configured to move the sway bar assembly relative to the axle to thereby move at least a portion of the chassis toward or away from the axle to adjust an attitude of the vehicle.