A method 20 and system 10 monitor road condition, by providing, for portions (14.1-14.m) of a road 12, an approximation 210 of a roughness figure in accordance with a roughness index. The method 10 includes receiving speed data 208 of a first vehicle 16 travelling along each of the portions of the road 12 and receiving, from a measuring device 18 carried on the first vehicle 16, measured acceleration data 204 of the device 18 perpendicular to the road 12 surface. The acceleration data 204 is processed to provide a parameter value 206 relating to the acceleration data 204 for each of the portions of the road 12. A first speed-based conversion equation and the speed data 208 is utilized to convert the parameter 206 into the approximation 210 of a roughness figure for each of the portions of the road 12, in accordance with the roughness index.

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.

A machine control system includes an agricultural work machine having an ECU coupled via a system bus to control engine functions, a GPS receiver, data collector, and specialized guidance system including a stored program. The data collector captures agricultural geospatial data including location data for the work machine and data from the ECU, and executes the stored program to: (a) capture geometries of the farm; (b) capture agricultural geospatial data; (c) automatically classify the agricultural geospatial data using the geometries of the farm, into activity/event categories including operational, travel, and ancillary events; (d) aggregate the classified data to create geospatial data events; (e) match the geospatial data events to a model to generate matched events; (f) use the matched events to generate actionable information for the working machine in real time or near real-time; and (g) send operational directives to the agricultural work machine based on the actionable information.

A vehicle(100) may include one or more image sensors(110) configured to provide sensor image data (112d) representing a sensor image of a vicinity of the vehicle(100), and one or more processors(120) configured to determine one or more obstacles (132) from the sensor image data(112d), to determine a distance from ground for each of the one or more obstacles (132) based its corresponding image object(114), and to trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle(100). A method for avoiding a collision of a vehicle with one or more obstacles.

A control device performs upshifting in a state in which an operating point of a rotating electrical machine for outputting requirement-based torque at wheel-based rotational speed falls within an operable range of the rotating electrical machine both before and after shifting a shift speed by the upshifting, and in which before shifting the shift speed, output torque from the rotating electrical machine is less than or equal to determination torque (T1), the wheel-based rotational speed being rotational speed of the rotating electrical machine based on rotational speed (V) of a wheel, the requirement-based torque being output torque from the rotating electrical machine based on required wheel transmission torque, and the determination torque (T1) being torque obtained by subtracting an amount of increased torque (ΔTmg) resulting from torque increase control from maximum torque (Tmax) that can be outputted from the rotating electrical machine at the wheel-based rotational speed.

A control unit performs a lane departure suppression control when a host vehicle is about to depart from a traveling lane. The control unit determines whether a low impact collision has occurred. The control unit performs a secondary collision damage mitigation control when the low impact collision is determined to have occurred while the lane departure suppression control is being performed.

A vehicle control device executes a traveling control that controls traveling of an own vehicle to enable the own vehicle to follow a preceding vehicle traveling in front of the own vehicle. The vehicle control device includes: an environment prediction unit that predicts whether an adverse-effect change has occurred in a surrounding environment around the own vehicle, the adverse-effect change being likely to have an adverse effect on a fuel economy of the own vehicle; and an acceleration control unit configured to execute a prediction control that enables an acceleration of the own vehicle to be limited when the environment prediction unit predicts that the adverse-effect change has occurred in the surrounding environment.

A control system of a self-driving tractor can access sensor data to determine a set of trailer configuration parameters of a cargo trailer coupled to the self-driving tractor. Based on the set of trailer configuration parameters, the control system can configure a motion planning model for autonomously controlling the acceleration, braking, and steering systems of the tractor.

A vehicle and a method for the vehicle to detect a vehicle accident are provided. The method includes accessing at least one accident profile, wherein each accident profile contains information describing, for vehicles involved in a vehicle accident, data indicating vehicle operating parameters during the accident; collecting, in real time, data from the vehicle and at least one nearby vehicle, the data describing current vehicle operating parameters for the vehicles; comparing the data collected in real time with the at least one accident profile to determine a probability of a vehicle crash; and implementing preventive action responsive to the probability of a vehicle crash exceeds a probability threshold.

A system and method for actuating a vehicle operation power mode that include receiving sensor data from at least one sensor of a vehicle. The system and method also include determining if at least one vehicle operation requirement is met based on analysis of the sensor data and actuating an electric powered operation mode of the vehicle based on determining that the at least one operation requirement is met. The system and method further include modifying an operation of an electric battery of the vehicle to power the vehicle through the electric battery from being charged by a fuel powered engine of the vehicle based on the actuation of the electric powered operation mode.