The present disclosure relates to an overtaking estimating system for estimation of a minimum overtaking speed of a vehicle. The overtaking estimating system determines in view of a host vehicle a remaining distance of an overtaking lane contiguous to a driving lane of the host vehicle. The system further determines a delta distance between the host vehicle and a preceding vehicle positioned in the host vehicle driving lane. Moreover, the system determines a delta time for the host vehicle to reach the preceding vehicle. The system further determines, based on the delta distance, the delta time and a determined host vehicle speed, a speed of the preceding vehicle. Furthermore, the system determines, based on the remaining distance, the delta distance, the preceding vehicle speed, and an overtaking-affecting parameter, a minimum overtaking speed of the host vehicle for overtaking the preceding vehicle in the remaining distance of the overtaking lane.

A driving support apparatus comprises a controller for performing collision avoidance braking control and lane deviation suppressing control. When a performing condition of the lane deviation suppressing control is satisfied at a timing of the collision avoidance braking control is about to be performed, the controller makes direction determination processing for determining whether or not the own vehicle travels to a direction toward which it will collide with a target object or to a direction toward which it will avoid colliding with the target object. In the direction determination processing, when it is determined the own vehicle travels to a collision direction, the controller stops the lane deviation suppressing control to perform the collision avoidance braking control, and when it is determined the own vehicle travels to a collision avoidance direction, the controller performs cooperative control for making the lane deviation suppressing control cooperate with the collision avoidance braking control.

A device can comprise a memory and a processor operatively coupled to the memory and comprising computer executable components, comprising a trajectory determination component that determines a trajectory of an adjacent-lane traveling vehicle traveling in a lane adjacent to a vehicle comprising the device, wherein visibility of the adjacent-lane traveling vehicle, from the vehicle, is impaired by a succeeding vehicle traveling between the adjacent-lane traveling vehicle and the vehicle, a collision avoidance component that, in response to the trajectory of the adjacent-lane traveling vehicle being determined, by the trajectory determination component, to prevent a safe lane change by the vehicle to the lane, initiates a collision avoidance action for the vehicle.

An embodiment device for controlling autonomous driving includes a roll angle estimated value calculation device configured to calculate a roll angle estimated value of a vehicle based on a height of a center of gravity of the vehicle, a sprung mass, a spring constant of a suspension, a target speed, and a target turning radius, and a controller configured to compare a roll angle of the vehicle with a preset reference roll angle to adjust the target speed or the target turning radius of the vehicle.

The vehicle control device controls a vehicle configured to receive power by non-contact from a power transmission coil when passing over the power transmission coil. The vehicle control device includes a processor configured to prohibit lane changing by the vehicle in a predetermined range up to an end point of a power supply area where the power transmission coil is installed when the vehicle is running in a lane of the power supply area.

A system and method for reducing the risk of road accidents on account of blind spot errors and a vehicle using the system and method includes a visual sensing unit, the visual sensing unit comprising a first camera and a second camera, wherein the first camera looks left and obtains a first image information, the second camera looks to the right and obtains a second image information; a pre-processing unit, the pre-processing unit being coupled with the visual sensing unit, wherein the pre-processing unit processes the first image information and the second image information to generate a single image. An image processing unit generates an obstacle recognition information according to the processed image.

A method for operating an automated vehicle includes controlling by one or more computing devices an autonomous vehicle; receiving by one or more computing devices sensor data from the vehicle corresponding to moving objects in a vicinity of the vehicle; receiving by one or more computing devices road condition data; and determining by one or more computing devices undesirable locations related to the moving objects. The undesirable locations related to the moving objects for the vehicle are based at least in part on the road condition data. The step of controlling the vehicle includes avoiding the undesirable locations.

An apparatus for providing a traveling in a vehicle is provided. The apparatus includes a plurality of sensors configured to obtain information about the vehicle and information about an external object, a steering device, an input device configured to receive a lane change command from a driver of the vehicle, and a control circuit configured to be electrically connected with the one or more sensors, the steering device, and the input device. The control circuit is configured to control the vehicle to travel along a deviated path in a driving path of the vehicle based on at least one of the information obtained by the plurality of sensors or an operation of the steering device, to complete a lane change, and to control the vehicle to travel along a deviated path in a target lane of the changed lane in response to the received lane change command.

A vehicle includes: a plurality of sensor devices that determine a driver state; a driver state determining device that receives detection results from a plurality of sensor devices and determines whether the driver state is a dangerous state; and a driving assistance device that performs lane keeping control and speed control of a vehicle and transmits a network connection request to a management server when the driver state determining device has determined the dangerous state.

A vehicle control device comprises a processor configured to determine a target merge location where the vehicle is to make a lane change from a merging lane to a main lane, in a merge zone on a scheduled route where the merging lane merges with the main lane, as a location that is before the location at the minimum distance to the end point of the merging lane allowing the driver to whom control of the vehicle has been handed over to operate the vehicle for the lane change, and when the vehicle has not completed the lane change upon reaching the target merge location, give the driver a first notification notifying that control of the vehicle will be switched from automatic control to manual control, by using a notifying unit that notifies the driver of information, or by using a vehicle controlling device that controls operation of the vehicle to perform a predetermined operation of the vehicle.