Informed towing is provided. Towing information is identified, by a towing vehicle, with respect to a towed vehicle to be towed by the towing vehicle. A towed configuration of the towed vehicle is monitored. Responsive to the towed configuration of the towed vehicle being incorrect according to the towing information, a warning is displayed in the HMI indicating the incorrect towing configuration.

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 system includes a primary control module, a stability status module, and a supervisory control module. The primary control module is configured to determine at least one control action for at least one of an electronic limited slip differential and an aerodynamic actuator of a vehicle based on a driver command. The stability status module is configured to determine whether at least one component of the vehicle is stable or unstable based on an input from a sensor on the vehicle. The at least one component includes at least one of a vehicle body, a front axle, a rear axle, front wheels, and rear wheels. The supervisory control module is configured to adjust the at least one control action when the at least one component is unstable.

A vehicle control device includes: an acquiring unit that acquires vehicle height information from a link mechanism type vehicle height sensor that is connected to a lower arm of a suspension that connects a vehicle body and wheels of a vehicle; a storage unit that stores vehicle height error information, which is information representing a relationship between an acting force that is applied to the vehicle in a horizontal direction and an error that is contained in the vehicle height information that is output by the vehicle height sensor; and a correcting unit that corrects the vehicle height information that has been acquired by the acquiring unit, based on the acting force that acts when the vehicle height information is acquired and the vehicle height error information that is stored in the storage unit.

In one embodiment, motion planning and control data is received, where the motion planning and control data indicates that an autonomous vehicle is to move from a first point to a second point of a path within a predetermined route. In response to the motion planning and control data, the path from the first point to the second point is segmented into multiple path segments. For each of the path segments, one of predetermined driving scenes is identified that matches motion characteristics of the corresponding path segment. The motion planning and control data associated with the path segments is modified based on predetermined motion settings of the path segments. The autonomous vehicle is driven through the path segments of the path based on the modified motion planning and control data.

Hybrid or fully electric vehicle comprising: a conventional braking system based on friction bodies to brake the motor vehicle by interaction of the friction bodies in response to the operation of a brake pedal or any other equivalent control member, a reversible electric machine operatively coupled to the wheels of the vehicle and electronically controllable to operate selectively as an electric engine to generate a mechanical power to propel to the vehicle and as an electric generator to convert the kinetic energy of the motor vehicle into electrical energy, and an automotive electronic control system comprising a sensory system to measure automotive quantities, and an electronic control unit to control operation of the conventional braking system and of the electric machine in response to the operation of the brake pedal or any other operationally equivalent control member. The electronic control unit is further configured to control operation of: the electric machine to selectively perform one or more functions including regenerative braking, in which the electric machine is operated as an electric generator to recover the kinetic energy of the motor vehicle during braking and convert it into electrical energy, and the conventional braking system to clean the friction bodies of the conventional braking system based on the number of brakings performed by the conventional braking system and counted starting from the start-up of the motor vehicle.

A computer implemented method for scenario generation for autonomous vehicle navigation that can include defining a cellular automaton layer that defines a road network level behavior with at least one rule directed to pathways by vehicles on a passageway for travel. The method may further include defining an active matter layer that defines a vehicle level behavior with at least one rule directed to movement of the vehicles on an ideal route for the pathways; and defining a driver agent layer that defines driving nature with at least one rule that impacts changes in the vehicle level behavior dependent upon a characterization of driver behavior. The method may further include combining outputs from the different layer to provide scenario generations for autonomous vehicle navigation. The combining of the outputs can utilize a pseudo random value to determine at an order in the execution and duration of execution for the layers.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

Tailgate position management systems and methods are disclosed herein. An example method includes determining that a tailgate of a vehicle is in a down position, the tailgate comprising a tailgate camera, and selectively adjusting an automatic vehicle assistance feature of the vehicle based on the tailgate being in the down position.

A regenerative braking control system of an AWD (all-wheel-drive) hybrid vehicle including a front wheel HEV (hybrid electric vehicle) powertrain and a rear wheel EV (electric vehicle) powertrain is provided. The control system includes a manipulating instrument mounted to a steering wheel for manual shifting and regenerative braking control by a driver's manipulation, and a controller for adjusting a regenerative braking amount and controlling a shift pattern of each of a front wheel motor of the front wheel HEV powertrain and a rear wheel motor of the rear wheel EV powertrain by receiving a (−) or (+) manipulation signal or a hold manipulation signal of the manipulating instrument.