Methods and system for vehicle control. The methods and systems determining actuator commands data based on a vehicle stability and motion control function. The vehicle stability and motion control function having planned trajectory data, current vehicle position data and current vehicle heading data as inputs, having the actuator commands data as an output and utilizing a model predicting vehicle motion including predicting vehicle heading data and predicting vehicle position data. The actuator commands data includes steering and propulsion commands. The actuator commands data includes differential braking commands for each brake of the vehicle to correct for any differential between the planned vehicle heading and the current vehicle heading data or the predicted vehicle heading data. The methods and systems output the actuator commands data to the actuator system.

A vehicle control system includes: a driving operation device provided in a vehicle and configured to accept a driving operation by a user; an operation terminal configured to be carried by the user and including an input/output unit configured to accept an input by the user and to output a signal; and a control device configured to control traveling of the vehicle based on a signal from the driving operation device and to execute remote parking processing to move the vehicle to a parking position based on a signal from the operation terminal. When the control device detects the driving operation based on a signal from the driving operation device during the remote parking processing, the control device executes suspension processing to stop the vehicle and to make the input/output unit notify that the driving operation device has been operated.

A vehicle for transporting passengers include a floor board on which the passengers ride. The vehicle further includes a passenger distribution detection device that detects a passenger distribution that is a distribution of the passengers on the floor board. The vehicle further includes a control device that executes a passenger guidance control that guides the passengers on the floor board such that the passenger distribution approaches a target passenger distribution to increase a stability of the vehicle.

A vehicle control system includes: a vehicle state detecting device configured to obtain vehicle state information that includes a steering angle of a front wheel; a pitch moment computation unit configured to compute an applied pitch moment to be applied to a vehicle based on the vehicle state information; a deceleration force computation unit configured to compute an applied deceleration force to be generated in the vehicle based on the applied pitch moment; and a deceleration force distribution unit configured to compute a brake device deceleration force to be generated by a brake device and a power plant deceleration force to be generated by a power plant based on the applied deceleration force and state information of the brake device and the power plant.

The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.

A computer includes a processor and a memory storing instructions executable by the processor to receive a waypoint; generate a path for a vehicle from a starting point to the waypoint, the path characterized by a preset number of parameters; and instruct a propulsion and a steering system of the vehicle to actuate to navigate the vehicle along the path.

Methods and system for vehicle control. The methods and systems determining actuator commands data based on a vehicle stability and motion control function. The vehicle stability and motion control function having planned trajectory data, current vehicle position data and current vehicle heading data as inputs, having the actuator commands data as an output and utilizing a model predicting vehicle motion including predicting vehicle heading data and predicting vehicle position data. The actuator commands data includes steering and propulsion commands. The actuator commands data includes differential braking commands for each brake of the vehicle to correct for any differential between the planned vehicle heading and the current vehicle heading data or the predicted vehicle heading data. The methods and systems output the actuator commands data to the actuator system.

The automated driving system includes a vehicle speed detection device for detecting a speed of a vehicle, a display device capable of displaying a running lane and an adjacent lane of the vehicle, and a processor configured to control display content of the display device, and execute an autonomous lane change of the vehicle. The processor is configured to prohibit the autonomous lane change of the vehicle when a speed of the vehicle is less than a predetermined value. The processor is configured to hide the adjacent lane when the autonomous lane change is prohibited and start displaying the adjacent lane before the speed of the vehicle reaches the predetermined value if it is planned for the vehicle to accelerate from a speed below the predetermined value to a speed equal to or greater than the predetermined value in order to carry out the autonomous lane change.

The present invention refers to a method for providing a multi-lane scenario driving support for an ego vehicle (10) in a traffic situation. Traffic surroundings are measured by an environment sensor system (14), whereby the traffic surroundings include data about traffic and free space within an ego lane (16) of the ego vehicle (10) and at least an adjacent lane (12a, 12b), and data about front proximity area (18) and rear proximity area (20) of the ego vehicle (10). A decision device (22) evaluates the measured traffic surroundings and decides a driving operation to be executed by the ego vehicle (10) based on at least one strategy. In the decision device (22) a cost function is used for choosing one of at least six strategies, the cost function being based on at least a core priority, whereby the core priority is to avoid collision of the ego vehicle (10) and not cause collision of the ego vehicle (10) with a third party vehicle (24. The decision device (22) by means of the cost function chooses one of at least the following six strategies: braking in the ego lane (16), to combine braking and steering within the ego lane (16) of the ego vehicle (10), steering within the ego lane (16) of the ego vehicle (10) to avoid an obstacle, to full-brake in the ego lane (16) of the ego vehicle (10), to combine braking and steering towards or when entering temporarily an adjacent lane (12a, 12b) and steering towards or when entering temporarily an adjacent lane (12a, 12b).

A vehicle speed control device 1 mounted in a vehicle comprises: a forward detection unit 121 that obtains the amount of time until a vehicle V.sub.b to be overtaken that is traveling to the side of a host vehicle V.sub.a, in which the vehicle speed device 1 is mounted, is overtaken; a rearward detection unit 122 that obtains the amount of time until the distance between the host vehicle V.sub.a and a following vehicle V.sub.c traveling rearward of the host vehicle V.sub.a reaches a prescribed rearward distance; and a speed control unit 123 that increases the speed of the host vehicle V.sub.a when the time until overtaking occurs is greater than the time until the prescribed rearward distance is reached.