Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise an interface to obtain sensing data of an environment of the host vehicle. A processing device may be configured to determine a planned navigational action for the host vehicle; identify, from the sensing data, a target vehicle in the environment of the host vehicle; predict a distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a host vehicle braking distance based on a braking capability, acceleration capability, and speed of the host vehicle; determine a target vehicle braking distance, based on a speed and braking capability of the target vehicle; and implement the planned navigational action when the predicted distance of the planned navigational action is greater than a safe longitudinal distance being calculated based on the host vehicle and target vehicle braking distances.

Systems and methods for road disturbance detection and torque vectoring control. A vehicle may comprise: a torque vectoring system for independently varying torque to a plurality of wheels, an external sensor suite, and an electronic control unit. The control unit may comprise one or more processors and memory storing executable instructions that, as a result of execution by the one or more processors, cause the one or more processors to implement an appropriate torque vectoring strategy. The torque vectoring strategy may comprise biasing torque towards or away from a wheel/motor/axle.

Provided is a vehicle control device capable of suitably controlling the driving (autonomous driving or driving assistance) of a host vehicle when the host vehicle turns left from a side road into a main road (to merge into traffic). When the host vehicle is about to turn left into the main road, if the host vehicle recognizes that another vehicle is traveling along the main road behind the point [the intersection region of the side road and the main road] where the host vehicle enters the main road, then the host vehicle determines a risk that is associated with the other vehicle and that is dependent on the traveling position of the other vehicle, and determines whether or not to enter the main road, on the basis of the determined risk associated with the other vehicle.

The present disclosure provides a vehicle control apparatus and a vehicle control method comprising a radar for receiving radar signals transmitted from outside the vehicle and reflected from objects around the vehicle and processing the received radar signals to obtain detection data for the objects, and a controller for determining a stationary object among the objects based on the detection data, extracting feature points, determining whether the stationary object is a guardrail based on the extracted feature points, and determining a false target among the objects based on the guardrail. According to the present disclosure, it is possible to prevent the unrecognition or misrecognition of the control targets due to the guardrail.

Method and device for autonomous driving of a vehicle on a roadway in a direction of travel. A trajectory for driving on the roadway in the direction of travel is determined. A bending strip of limited length defines the trajectory, wherein the bending strip is fixed at one end thereof in a node which defines a starting point of the trajectory. A course of the trajectory is determined, starting from the starting point, in dependence on a bending line of the bending strip, which line extends, starting from the node, to the other end of the bending strip. A representation of a roadway boundary defines a boundary condition for the determination of the trajectory. A quality measure is defined in dependence on a property of the bending strip. The bending line which satisfies the boundary condition and for which the quality measure has an extremal value is determined.

Methods and systems for controlling a vehicle. The system includes a localization system, a memory storing a digital map, at least one sensor, and an electronic processor. The electronic processor is configured to receive, from the localization system, a current location of the vehicle and determine a future driving segment of the vehicle based on the current location of the vehicle. The electronic processor is further configured to determine at least one performance limitation based on the future driving segment of the vehicle and artificially falsify data of the at least one sensor to initiate a safety action for the vehicle.

A method for determining the ability of a vehicle user to react in the automated driving mode of a vehicle uses detected image data of a driver monitoring camera. Using digital map data present in the vehicle and/or sensor data detected by the vehicle, it is determined whether at least one specified relevant object in a momentary vehicle environment is located in the field of vision of the vehicle user. For at least one detected specified relevant object in the momentary vehicle environment, detected image data of the driver monitoring camera is used to determine a duration and/or frequency the vehicle user directs their gaze to the detected relevant object. When a determined duration falls short of a specified minimum duration and/or when a determined gaze change frequency falls short of a minimum frequency, the ability of the vehicle user to react is evaluated as not given.

Computer implemented method for target selection in the vicinity of a vehicle, comprising obtaining vehicle state information, the vehicle state information comprising dynamic information regarding the vehicle, predicting a first trajectory of the vehicle based on the vehicle state information for a first prediction time horizon, detecting road users in the vicinity of the vehicle, determining state information from the detected road users, the state information comprising dynamic information regarding the road users, predicting a second trajectory of the vehicle based on the vehicle state information and the road users state information for the first prediction time horizon and performing a first similarity comparison of the first predicted trajectory and the second predicted trajectory of the vehicle to determine whether the detected road users are a potential target of the vehicle for the first prediction time horizon.

An autonomous driving device is configured to switch a driving mode, and includes a destination setting type autonomous driving mode in which a vehicle is made to travel to a destination and a following road autonomous driving mode in which, when a destination is not set, the vehicle is made to travel along a road. The autonomous driving device includes a display unit and an electronic control unit. The electronic control unit is configured to, when the display unit is made to display a traveling route along a following road traveling route, make the display unit display a traveling route from a current position of the vehicle to a nearest branch road in front in a moving direction along the following road traveling route and a moving direction on the nearest branch road along the following road traveling route.

A vehicle control device disclosed in the present disclosure includes: a first control unit configured to control a speed of the vehicle in accordance with the route distance and the set speed until the detection unit determines that the vehicle has passed through the ETC toll gate, while the vehicle is performing the constant-speed traveling by the cruise control unit; a vehicle frontward detecting unit configured to detect road information about a road frontward of the vehicle; and a second control unit configured to change control content in the cruise control unit on the basis of a detection result from the vehicle frontward detecting unit, when the detection unit determines that the vehicle has passed through the ETC toll gate, while the vehicle is performing the constant-speed traveling by the cruise control unit.