A method for controlling a suspension system of a vehicle, as well as suspension systems, and a vehicle including a suspension system is provided. The suspension system may include at least one adjustable damping device that is controlled via a control signal, such as from a controller of the suspension system, in order to dynamically adjust the damping characteristic of the damping device. The control signal may be generated on the basis of at least one of current driving dynamics data and optically recorded information about an area of a ground surface.

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.

A milling machine may have a frame, a milling drum attached to the frame, and ground engaging tracks that support the frame and propel the milling machine in a forward or rearward direction. The milling machine may have height adjustable actuators connecting the frame to the tracks. Each actuator may have a cylinder attached to the frame, a piston slidably disposed within the cylinder, and a rod connected at a first end to the piston and connected to a track at a second end. The milling machine may have a tank storing hydraulic fluid and a fluid conduit connecting the tank to the cylinder. The milling machine may have a control valve selectively controlling a flow rate of the hydraulic fluid in the fluid conduit. The milling machine may also have a controller that determines a height of the frame relative to the ground surface based on the flow rate.

A ramp-equipped vehicle includes: a vehicle-height adjusting mechanism configured to adjust a vehicle height of a vehicle; a ramp configured to be movable between a deployed state and a stored state, the deployed state being a state where the ramp protrudes outwardly from the vehicle, the stored state being a state where the ramp is stored inside the vehicle; and a camera configured to detect a person coming closer to the vehicle. When the camera detects a person coming closer to a doorway of the vehicle during vehicle height adjustment by the vehicle-height adjusting mechanism, the vehicle height adjustment by the vehicle-height adjusting mechanism is interrupted.

A vehicle includes an alarm portion, a storage configured to store information on a ground clearance, a camera configured to obtain a surrounding image including a front image and a rear image of the vehicle, and a controller configured to, when an object in front of the vehicle is recognized based on the front image obtained by the camera, determine a height of the object based on the front image obtained by the camera, and when the ground clearance is greater than the height of the object by comparing the height of the object with the ground clearance, and when the object is not recognized in a rear side of the vehicle based on the rear image obtained by the camera, configured to control the alarm portion to output a warning alarm.

A method and apparatus for providing an off-road feature of a vehicle includes determining that the vehicle is in an off-road area based upon a location of the vehicle and sensed terrain characteristics at the location. Upon determining that the vehicle is in the off-road area, the vehicle monitors parameters for enablement of the off-road feature of the vehicle. The off-road feature is enabled in response to the parameters being within a predetermined range based upon a number of transitions between an enabled state and a disabled state within a predetermined time being less than a transition threshold. Parameter monitoring for enablement of the off-road feature is ceased upon determining that the vehicle has moved from the off-road area to an on-road area.

A control system for controlling motions of a vehicle having wheels is provided. The control system includes suspension units configured to support the wheels respectively driven by motors controlled by throttles, a set of sensors configured to detect the motions of the vehicle, wherein the motions are represented by lift, pitch, and roll values of the vehicle, an allocation module configured, in connected with the sensors, to generate and transmit allocated throttle signals to the throttles to minimize the motion by solving an optimization problem related to the motion, and a motor control unit configured to drive each of the motors via the throttles according to the allocated throttle signals.

According to certain embodiments, a device comprises a body, a mechanical propulsion system affixed to the body to cause the body to traverse a multi-oriented surface and to prevent contact between the body and the multi-oriented surface, a thrust system to apply a thrust force to the device that opposes a gravitational force acting on the device, and a payload with at least one sensor to detect a characteristics of the multi-oriented surface.

A detected displacement of a marker on a vehicle is determined based on image data captured while the vehicle traverses a displacement object of a ground surface. Then a health status of a suspension component of the vehicle is determined to be unhealthy based on comparing the detected displacement of the marker to a target displacement of the marker. The target displacement specifies displacement of the marker that indicates the suspension component is healthy. The vehicle is operated based on the suspension component being unhealthy.

The present disclosure relates to a method and an apparatus for controlling an electronic control suspension using a deep learning-based road surface classification model. The method for controlling an electronic control suspension in a vehicle including a camera and a GPS receiver may include collecting location information of the vehicle using the GPS receiver while driving, identifying whether there is a previously generated road surface classification model corresponding to a front obstacle when the front obstacle is detected, determining a first control value based on a first characteristic value corresponding to the road surface classification model when there is the road surface classification model as a result of the identification, controlling the electronic control suspension with the determined first control value when entering the obstacle, and collecting new sensing data through a physical sensor, and correcting the first characteristic value based on the new sensing data.