A detection ECU detects, from an image captured by an in-vehicle camera, left and right lane markings defining an own lane which is a traffic lane in which an own vehicle is traveling, and performs following travel control to cause the own vehicle to travel following a preceding vehicle which travels ahead in the own lane defined by the detected lane markings. Furthermore, when determining that the measured inter-vehicular distance is shorter than a predetermined distance and at least one of the detected lane markings has become undetectable during execution of the following travel control, the detection ECU determines based on the estimated and calculated lane markings that the preceding vehicle has deviated to a traffic lane different from the own lane.

A method for controlling the braking effort of a tractor unit relative to the braking effort of a trailer being towed by the tractor unit comprises: activating an enhanced braking mode in the tractor unit; receiving a braking command from an operator input device whilst in the enhanced braking mode; increasing a tractor unit speed demand on the tractor unit whilst receiving the braking command; and applying the brakes to the trailer and tractor unit, wherein the braking effort applied to the tractor unit is reduced relative to the trailer due to the increased speed demand.

A travel control device assists automatic traveling of a vehicle by controlling a target vehicle speed, which is a target value of an actual vehicle speed, when making the vehicle travel to a target point. The travel control device includes a setting unit for executing a setting process for setting the course of the target vehicle speed until the vehicle reaches the target point, based on the actual vehicle speed and the target point. If a request to change the vehicle speed occurs during execution of the automatic traveling and the actual vehicle speed is changed based on the request, the setting unit executes a resetting process for resetting the course of the target vehicle speed, based on the actual vehicle speed when the request is canceled and a remaining distance from a position of the vehicle when the request is canceled to the target point.

In an aspect, a self-balancing two-wheeled vehicle is provided, having a body, and first and second wheels rotatably coupled to the body. The second wheel has at least one lateral roller rotatable about an axis that is one of oblique and orthogonal to a rotation axis of the second wheel. At least one motor is coupled to the second wheel to control rotation of the second wheel and the at least one lateral roller. At least one sensor is coupled to the body to generate orientation data therefor. A control module is coupled to the at least one motor to control operation thereof at least partially based on the orientation data generated by the at least one sensor.

An inter-vehicle distance control device that achieves inter-vehicle distance control satisfying the driver includes a preceding vehicle velocity computation part that computes a preceding vehicle velocity on the basis of a host vehicle velocity and a relative velocity of the preceding vehicle, a target inter-vehicle setting art that sets a target inter-vehicle distance from the preceding vehicle on the basis of the preceding vehicle velocity, a target track generator that generates a target track and a target track differential, the target track defining a time history lasting until the initial value of the inter-vehicle distance reaches the target inter-vehicle distance, and a feedback controller that computes a feedback acceleration command by multiplying a deviation of the inter-vehicle distance from the target track and a deviation of the relative velocity from the target track differential value by a gain. The feedback acceleration command is output as an acceleration command.

A machine-learned model is trained using human driving data to determine a desired vehicle speed based from a set of driving-environment characteristics. An autonomous-vehicle control system obtains, from cameras, sensors, services, and data sources, a variety of sensor data. The sensor data is used to determine a set of characteristics for the driving-environment for the autonomous vehicle. Using the machine-learned model, the autonomous-vehicle control system determines a human-like desired speed for the autonomous vehicle based at least in part on the determined characteristics of the driving-environment.

[Problem] To provide a vehicle speed control device and a vehicle speed control method that allow vehicle speed commands to be followed with high precision. [Solution] Provided is a vehicle speed control device 10 for controlling driving of a vehicle 1 in accordance with a defined vehicle speed command v.sub.1 by changing an accelerator position of the vehicle 1, wherein the vehicle speed control device 10 comprises: an accelerator position change amount computation unit 16 that computes an accelerator position change amount .sub.FF based on a current vehicle speed v.sub.det and a requested drive power F.sub.ref necessary to fulfill the vehicle speed command v.sub.1, computed based on the vehicle speed command v.sub.1; and an accelerator position changing unit 12 that changes the accelerator position based on the accelerator position change amount .sub.FF; wherein the accelerator position change amount computation unit 16 computes the accelerator position change amount .sub.FF by using a machine learning device that has been trained by using, as training data, driving history data 17 including drive powers, vehicle speeds, and accelerator position change amounts of the vehicle 1 while being driven.

A method for operating an industrial truck having three wheels. During longitudinal travel, two steerable wheels run in succession in a first lane, and a third wheel runs in a second lane. The third wheel initially runs on an inside during a turning in while cornering until the industrial truck, during a further turning in, transitions into a revolving motion. The method includes reducing a drive power as of a specific steering angle during the turning in prior to the revolving motion, and disengaging or reversing a direction of a drive rotation of the third wheel after a delay time which begins with the reducing of the drive power, or, continuously reducing the drive power from the specific steering angle during the further turning in, and disengaging or reversing the direction of rotation of the third wheel when transitioning into the revolving motion.

Vehicles may be composed of a relatively few number of modules that are assembled together during a final assembly process. An example vehicle may include a body module, a first drive module coupled to a first end of the body module, and a second drive module coupled to a second end of the body module. One or both of the drive modules may include a pair of wheels, a battery, an electric drive motor, and/or a heating ventilation and air conditioning (HVAC) system. One or both of the drive modules may also include a crash structure to absorb impacts. If a component of a drive module fails or is damaged, the drive module can be quickly and easily replaced with a new drive module, minimizing vehicle down time.

A vehicle travel support system includes: an information acquisition device that uses a sensor to acquire surrounding situation information; and a vehicle travel control device that controls travel of a vehicle. When a lane change to an adjacent lane is necessary, the vehicle travel control device uses the surrounding situation information to determine whether or not there is a lane restriction item indicating that entry into the adjacent lane is restricted. When there is the lane restriction item, the vehicle travel control device sets a zone of the adjacent lane including a position of the lane restriction item and having a predetermined distance as a no-entry zone. The vehicle travel control device prohibits the lane change until the vehicle passes through a side of the no-entry zone and permits the lane change after the vehicle passes through the side of the no-entry zone.