A driving assistance device includes a target information acquisition device, a vehicle state information acquisition device, and an electronic control unit. The electronic control unit is configured to determine whether a specific condition which is set so as to be established when vehicle control is needed in accordance with a result of comparison between an index value and a predetermined threshold is established, perform the vehicle control for avoiding contact of the host vehicle with an obstacle or abnormal proximity of the host vehicle to the obstacle when the specific condition is determined to be established, and change at least one of the predetermined threshold and the index value based on a lateral distance so that the specific condition has more of a tendency to be established as the lateral distance decreases.

A method for controlling vehicle system of a vehicle is disclosed. The method comprises determining an expected path of the vehicle, determining a vehicle trajectory for the determined expected path, and determining at least one required control parameter value of a driver assistance system based on the determined vehicle trajectory. Further, the method comprises comparing the at least one required control parameter value to a predefined threshold scheme associated with the driver assistance system, and sending a signal to a Human Machine Interface, HMI, of the vehicle based on the comparison. Then, the method comprises receiving a feedback signal originating from a user of the vehicle, and controlling the driver assistance system based on the comparison and the received feedback signal.

Provided are a vehicle lane-changing control method and a vehicle lane-changing control device. The method includes controlling a host vehicle to travel into a neighboring to-be-turned-into lane with a first control rule, acquiring a location relation between the host vehicle and a referential lane line in a real time manner. The referential lane line is located between the host vehicle and the to-be-turned-into lane. The method further includes determining whether the location relation meets a preset changing rule, and controlling an action of the host vehicle with a second control rule corresponding to the preset changing rule in a case that the location relation meets the preset changing rule.

A method for receiving autonomous vehicle (AV) driving path data associated with a driving path in a roadway of a geographic location. The driving path data associated with a trajectory for an AV in a roadway and trajectory points in a trajectory of the driving path in the roadway for determining at least one feature of the roadway positioned a lateral distance from a first trajectory of the one or more trajectories of the driving path of an AV based on the map data. The method includes receiving map data associated with a map of a geographic location, determining a driving path for an AV in a roadway, generating driving path information based on a trajectory point in a trajectory of the driving path, and providing driving path data associated with the driving path to an AV for controlling the AV on the roadway.

A vehicle control device includes a recognizer configured to recognize a surrounding environment of a vehicle and a driving controller configured to perform driving control according to speed control and steering control of the vehicle on the basis of a recognition result of the recognizer, wherein the recognizer is configured to recognize a depression on a road where the vehicle travels, and wherein the driving controller is configured to cause the vehicle to travel while riding over the depression in a case where a width of the depression is less than or equal to a predetermined width.

A method for determining a driving maneuver includes obtaining vehicle parameters (P) from a driving maneuver planning module (22) of the vehicle (10). At least one possible driving maneuver (M) is determined via the driving maneuver planning module (22) based on the vehicle parameters (P) received by means of at least one decision-making submodule of the driving maneuver planning module (22), At least one possible driving maneuver (M) is transmitted to a motion planning module (24) of the vehicle (10). An evaluation variable (B) is obtained from the motion planning module (24) via the driving maneuver planning module (22). The at least one decision-making submodule is adapted based on the evaluation variable (B) obtained. Furthermore, a system for determining a driving maneuver of a vehicle, a vehicle for executing the driving maneuver, a control device for a vehicle and a computer program for executing the method are shown.

An automotive vehicle includes at least one actuator configured to control vehicle steering, shifting, acceleration, or braking, at least one sensor configured to provide signals indicative of a location and velocity of an object external to the vehicle relative to the vehicle, and at least one controller in communication with the at least one actuator and the at least one sensor. The at least one controller is configured to, in response to a signal from the at least one sensor indicating that a relative velocity between a rearward object and the vehicle exceeds a first threshold and a distance between the rearward object and the vehicle falls below a second threshold, automatically control the at least one actuator to maneuver the vehicle from a first lateral position with respect to a current driving lane to a second lateral position with respect to the current driving lane.

The technology relates to controlling a vehicle in an autonomous driving mode. In one instance, sensor data identifying an object in an environment of the vehicle may be received. A first path of a first trajectory where the vehicle will pass the object may be determined. A function is used to determining a first maximum speed of the vehicle based on a predetermined minimum lateral clearance between the object and the vehicle. The first maximum speed may be used to determine whether an actual lateral clearance between the object and the vehicle will meet the predetermined minimum lateral clearance. The determination of whether the actual lateral clearance will meet the predetermined minimum lateral clearance may be used to generate a first speed plan for the first trajectory. The vehicle may be controlled in the autonomous driving mode according to the first trajectory including the first speed plan and the first path.

An autonomous vehicle uses probabilistic neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the traffic entities in the traffic. The probabilistic neural network is configured to receive an image of traffic as input and generate output representing hidden context for a traffic entity displayed in the image. The system executes the probabilistic neural network to generate output representing hidden context for traffic entities encountered while navigating through traffic. The system determines a measure of uncertainty for the output values. The autonomous vehicle uses the measure of uncertainty generated by the probabilistic neural network during navigation.

A saddled vehicle driven by a driver can include a detection device and a cruise control device for judging the other vehicles detected by the detection device and traveling in a same traffic lane as the own vehicle's traffic lane as a preceding vehicle and for automatically controlling travel of the vehicle driven by the driver so that the vehicle driven by the driver follows the preceding vehicle and keeps a preset intervehicular distance relative to the preceding vehicle. The cruise control device can obtain a forward intervehicular distance which is a distance from the vehicle driven by the driver to the preceding vehicle in a traveling direction and a side intervehicular distance which is a distance from the vehicle driven by the driver to the preceding vehicle in a vehicle width direction and can perform the automatic travel control of the vehicle driven by the driver in accordance with the forward intervehicular distance and the side intervehicular distance.