A road friction coefficient of a vehicle is estimated by obtaining substantially contemporaneous values associated with a steering angle for a steered axle of the vehicle, a lateral acceleration, a yaw acceleration, an alignment torque and an axle load on the steered axle; estimating a lateral tire force on the basis of the steering angle, lateral acceleration, and yaw acceleration; deriving a pneumatic trail from the alignment torque and estimated lateral tyre force; and estimating a road friction coefficient from the lateral tire force, the axle load, and the pneumatic trail. In embodiments, the derivation of the road friction coefficient includes evaluating a nonlinear function of the pneumatic trail.

A method for controlling the distribution of power to a traction motor in a plug-in electric vehicle having a plurality of on-board sources of electric power. Power is distributed at a normal power control relationship in response to an operator control input during operation in a normal mode. Power is depleted at a first rate during operation of the vehicle in the normal mode. Power is distributed at a derate power control relationship in response to the operator control input during operation in a derate mode. Power is depleted at a second rate that is less than the first rate during operation in the derate mode to conserve the power of the one or more on-board sources. Operation in the derate mode can be initiated in response to information from sensors identifying a vehicle condition indicating a battery charge limitation.

Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

In at least one embodiment, a system for a class 7 or 8 vehicle is provided. The system includes a first motor, a second motor, and a controller. The first motor is configured to generate torque for the vehicle. The second motor is configured to drive an engine of the vehicle such that the vehicle meets a desired speed as set forth by a driver. The controller is configured to drive at least one of the first motor and the second motor and to receive a first signal indicative of a speed of the vehicle. The controller is further configured to deactivate the first motor if the speed of the vehicle is greater than a predetermined speed limit.

Industrial vehicles that include a speed sensor configured to generate a speed sensor signal, a payload sensor configured to generate a payload sensor signal, an inclination sensor configured to generate an inclination sensor signal, a wheel motor connected to a wheel of the industrial vehicle, and a controller. The wheel motor includes an electric retarder device for applying a retardation force to the wheel. The controller is configured to receive the speed sensor signal, receive the payload sensor signal, receive the inclination sensor signal, determine a required retardation force for the industrial vehicle based on the payload sensor signal and the inclination sensor signal, determine an available retardation force for the industrial vehicle based on the speed sensor signal, and generate an output indicating the required retardation force for the industrial vehicle relative to the available retardation force for the industrial vehicle.

A method for detecting an obstacle along a known path of a machine can include relating the location of the machine with a map. The map can include a worksite with a known path or known paths that the machine can travel on. The stopping distance of the machine can be determined and based on these identified known path and its characteristics along with a traveling speed and a weight of the machine. A LIDAR region of interest can be determined based on the stopping distance, the position and orientation of the machine, and characteristics of the known path. The machine can include a LIDAR system that can be configured to be oriented with respect to the LIDAR region of interest. A concentrated LIDAR scan can be performed to detect if an obstacle is present within the LIDAR region of interest.

A power adjustment system and a power adjustment method of an autonomous mobile device are provided. In the power adjustment method, two first current control signals respectively transmitted to two drivers are outputted by a control module. A tilt angle of the autonomous mobile device is detected by an inertial measurement module. A travel route is planned by a navigation module, and the control module obtains a steering angle of the autonomous mobile device during a traveling process. According to different weight values of the autonomous mobile device stored in a database module, a weight of the autonomous mobile device is estimated by the control module. According to the two first current control signals and the weight, the steering angle, and the tilt angle of the autonomous mobile device, two second current control signals respectively transmitted to the two drivers are outputted by the control module.

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 mobile work machine includes a frame; ground engaging elements movably supported by the frame and driven by a power source to drive movement of the machine; a moveable element movably supported by the frame to move relative to the frame; an actuator coupled to the moveable element to controllably drive movement of the moveable element; a control system that generates an actuator control signal, indicative of a commanded movement of the actuator, and provides the actuator control signal to the actuator to control the actuator to perform the commanded movement; a terrain identifier configured to identify a characteristic of terrain in a geographic area around the machine; and a stability system that determines whether the commanded movement will result in an unstable state of the machine based on the characteristic of the terrain and, if so, generates a restriction signal, restricting the commanded movement to avoid the unstable state.

A method for controlling the speed of a work vehicle towing an implement that is movable between a working position, in which ground engaging tools of the implement are configured to perform a field operation, and a transport position, in which the ground engaging tools are raised relative to the ground. The method may include monitoring, with a computing device, an implement weight supported by the implement while the implement is in the transport position. The method may further include comparing, with the computing device, the implement weight to a predetermined threshold weight. Additionally, the method may include, when the implement weight differs from the predetermined threshold weight, adjusting, with the computing device, a maximum speed limit for the work vehicle.