A driving limitation system includes the steps of: identifying a driver by a driver authentication means; extracting information on the identified driver; extracting data relating to vehicle speed limitation according to the driver; extracting data relating to limitation in a vehicle traveling area according to the driver; performing selection or generation of map data regarding a traveling area; generating, on the basis of the extracted data relating to the vehicle speed limitation, vehicle traveling area limitation and the driver, a traveling speed control command within the limitation in the vehicle traveling area in accordance with the physical ability and/or cognitive ability of the driver; transmitting the traveling speed control command to a vehicle speed control means; generating a control command for controlling the vehicle speed on the basis of the safety speed indicated by the vehicle speed control means; and sending the control command to an engine and to a braking system to set the traveling speed of the vehicle to be equal to or lower than the safety speed according to the driver.

Systems and methods are disclosed for estimating slipperiness of a road surface. This estimate may be obtained using an image sensor mounted on a vehicle. The estimated road slipperiness may be utilized when calculating a risk index for the road, or for an area including the road. If a predetermined threshold for slipperiness is exceeded, corrective actions may be taken. For instance, warnings may be generated to human drivers that are in control of driving vehicle, and autonomous vehicles may automatically adjust vehicle speed based upon road slipperiness detected.

In one aspect, an operating method of an intelligence vehicle driving control system is provided that comprises: a collecting step of collecting big data including a wheel torque and a speed for every vehicle type and traffic information; a torque calculating step of learning the big data using a predetermined machine learning model and inputs a specific desired speed profile to the machine learning model to calculate a motor torque of a driving vehicle; and an optimal speed profile deriving step of calculating an energy consumption required to generate the calculated motor torque using a predetermined dynamic programming method and a reverse vehicle dynamic model and deriving an optimal speed profile in which the energy consumption is minimized.

An apparatus for controlling a lane change of a vehicle includes: a sensor to sense an external vehicle, an input device to receive a lane change command from a driver of the vehicle, and a control circuit to be electrically connected with the sensor and the input device. The control circuit may receive the lane change command using the input device, calculate a minimum operation speed for lane change control, and determine whether to accelerate the vehicle based on a distance between a preceding vehicle which is traveling on the same lane as the vehicle and the vehicle, when a driving speed of the vehicle is lower than the minimum operation speed when receiving the lane change command.

An agricultural system includes a target vehicle configured to harvest crops and a work vehicle. The work vehicle includes a controller. The controller includes a memory and a processor, and the controller is configured to receive or determine a plurality of vehicle paths as well as a location of the target vehicle. The controller is also configured to identify an active path of the plurality of vehicle paths based on the location of the target vehicle. The target path is a path traversed by the target vehicle.

A method for controlling a vehicle including a continuously variable transmission includes determining, by a controller, whether a speed difference between a speed of a vehicle according to revolutions per minute (RPM) of a driving wheel of the vehicle and a speed of the vehicle according to revolutions per minute (RPM) of a towed wheel of the vehicle is equal to or greater than a speed reference value and reducing, by the controller, torque of an engine providing a driving force to a driving pulley of the continuously variable transmission when the difference in vehicle speed is equal to or greater than the speed reference value.

Aspects of the disclosure provide for a method for identifying speed limit signs and controlling an autonomous vehicle in response to detected speed limit signs. The autonomous vehicle's computing devices identifies a speed limit sign in a vehicle's environment and a location and orientation corresponding to the speed limit sign. Then, the and orientation location of the speed limit sign is determined to not correspond to a pre-stored location and a pre-stored orientation of a speed limit sign that is pre-stored in map information. An effect zone of the speed limit sign is determined based on the location and orientation of the speed limit sign and characteristics of surrounding areas or other detected object before or after the speed limit sign. The autonomous vehicle's computing devices determines a response of the vehicle based on the determined effect zone, and controls the autonomous vehicle based on the determined response.

A vehicle control device has a first calculating unit calculating a first arrival time until a vehicle reaches a lane change position where a first lane along which the vehicle is traveling and a second lane merge, or the first lane and the second lane separates, a second calculating unit calculating a second arrival time until another vehicle traveling along the second lane reaches the lane change position, and a speed control unit controlling the speed of the vehicle such that the vehicle enables to make a lane change to the second lane ahead of the other vehicle when the first arrival time is shorter than the second arrival time, and controlling the speed of the vehicle such that the vehicle enables to make a lane change to the second lane behind the other vehicle when the first arrival time is equal to or greater than the second arrival time.

A vehicle control system having a subsystem controller for initiating control of a first group of at least one vehicle subsystem in a selected one of a plurality of subsystem control modes each corresponding to one or more different driving conditions; and an estimator module for evaluating at least one driving condition indicator to determine the extent to which each of the subsystem control modes is appropriate and for providing an output indicative of the subsystem control mode that is most appropriate. The estimator module is configured to increase the probability to which the at least one off-road driving mode is determined appropriate in dependence on at least one terrain indicator. In an automatic response mode the subsystem controller selects the most appropriate one of the subsystem control modes for each subsystem of the first group in dependence on the output.

Embodiments of the present invention provide a vehicle control system comprising a speed control system, the speed control system being configured automatically to attempt to cause a vehicle to operate in accordance with a target speed value by causing a first vehicle speed value determined according to a first predetermined method to become or be maintained substantially equal to the predetermined target speed value at least in part by causing application of positive drive torque to one or more wheels by means of a powertrain, wherein the speed control system is configured to impose a constraint on the amount of driving torque that may be demanded of the powertrain in dependence on the target speed value and a second vehicle speed value determined according to a second predetermined method, said a second predetermined method being based on the mean speed of the driven wheels of the vehicle.