A vehicle driving system enabling safe traveling on a narrow road and a method performed by the vehicle driving system for controlling a vehicle are disclosed. The vehicle driving system includes a sensor configured to monitor an environment outside a vehicle and a controller. The controller is configured to recognize an oncoming traveling object through the sensor, derive a width of a travelable road between the traveling object and the vehicle, determine priority between the traveling object and the vehicle when the width of the travelable road is smaller than a sum of widths of the traveling object and the vehicle, and, when the traveling object is determined to have the priority, control traveling of the vehicle to provide a space in a lateral direction of the vehicle to allow the traveling object to pass.

An alert apparatus sets a determination area which is at a turning direction side of an own vehicle with respect to a longitudinal direction line of the own vehicle and extends forward from the own vehicle or from near the own vehicle when an angle condition that a moving direction angle corresponding to an angle defined by a longitudinal direction line of the own vehicle and a moving direction of an approaching vehicle is within a predetermined angle range, is satisfied. The alert apparatus sets the determination area which is at the turning direction side of the longitudinal direction line and away forward from the own vehicle by a predetermined distance when the angle condition is not satisfied.

A device for setting a target vehicle that sets a target vehicle to be subjected to driving assistance control of a host vehicle includes: a detection signal acquisition device capable of acquiring a first detection signal representing an object by an image, and a second detection signal representing the object by a reflection point; and setting control unit, which determines whether to set a forward object as a target vehicle, wherein if a movement history is not associated with the forward object, and a combination history is associated with the forward object, then as a selection threshold of a first determination parameter for determining whether to set the forward object as the target vehicle, a selection threshold is used such that the forward object is less likely to be selected as the target vehicle than with the selection threshold which would be used if a movement history is associated with the forward object.

The present invention provides a travel control apparatus for controlling traveling of a self-vehicle to avoid another vehicle on a front side, the apparatus comprising: a calculation unit for calculating a relative speed between the self-vehicle and the other vehicle; a state detection unit for detecting an operation state of the other vehicle; and a control unit for controlling avoidance processing of avoiding the other vehicle and causing the self-vehicle to pass a lateral side of the other vehicle, wherein the control unit changes a separation distance to separate the self-vehicle and the other vehicle in the avoidance processing in accordance with the relative speed calculated by the calculation unit and the operation state detected by the state detection unit.

Disclosed are a driver assistance system for a vehicle, the driver assistance system comprising: a camera disposed on the vehicle to have a field of view of an outside of the vehicle, and configured to acquire external image data; a radar disposed on the vehicle to have a field of sensing of an outside of the vehicle, and configured to acquire radar data; and a controller including a processor configured to process the image data and the radar data, determine a cut-in area of a nearby vehicle on the basis of the image data acquired by the camera, determine a target vehicle on the basis of the determined cut-in area, and control at least one of a braking device or a steering device of the vehicle to avoid a collision with the target vehicle.

Systems and methods for operating a vehicle are disclosed. The methods comprise: generating, by a computing device, a vehicle trajectory for the vehicle while the vehicle is in motion; detecting an object within a given distance from the vehicle; generating at least one possible object trajectory for the object which was detected; performing a collision check to determine whether a collision between the vehicle and the object can be avoided based on the vehicle trajectory and the at least one possible object trajectory; performing a plausibility check to determine whether the collision is plausible based on content of a map, when a determination is made in the collision check that a collision between the vehicle and the object cannot be avoided; and performing operations to selectively cause the vehicle to perform an emergency maneuver based on results of the plausibility check.

A control system for preventing vehicle collisions may include a vehicle location determination module, a terrain determination module, a terrain surface coefficient of friction estimation module, and a sensing system configured to generate signals indicative of vehicle speed, vehicle pose, vehicle size, vehicle weight, vehicle tire type, vehicle load, vehicle gear ratio, weather characteristics, and road conditions for a vehicle operating at a job site. A manned vehicle trajectory determination module may receive location information and plot a first travel path for a manned vehicle based at least in part on a location, heading, and speed of the manned vehicle and a desired destination for the manned vehicle. An autonomous vehicle trajectory determination module may receive location information, terrain information, and terrain surface coefficient of friction information, plot a second travel path for an autonomous vehicle, and determine projected slide trajectories for the autonomous vehicle at successive positions along the second travel path where the autonomous vehicle is predicted to lose traction based at least in part on signals received from the sensing system.

A computer-implemented method, apparatus, and system for receiving and calibrating lateral deviation values and for controlling an autonomous vehicle to correct the lateral deviation is described. In every perception and planning cycle, a single lateral deviation value representative of an estimated autonomous vehicle lateral deviation from a reference line (e.g., corresponding to a center of the lane) is generated based on camera detection. The deviation value for a present cycle is received. A calibrated deviation value can be updated for the present cycle based on the received deviation value and a Gaussian distribution model. Control signals for the present cycle are generated to drive the autonomous vehicle to at least partially correct the autonomous vehicle lateral deviation based on the updated calibrated deviation value.

A method for supporting a user of a first vehicle to follow a second vehicle includes obtaining a picture, by a camera, of at least a part of a surrounding of the first vehicle, detecting vehicles in the obtained picture, displaying a representation of the detected vehicles on a user interface to the user, obtaining input from the user from the user interface of which of the detected vehicles that is the second vehicle and that the user would like to follow, obtaining, via the camera, at least one identification data of the second vehicle, tracking the position of the second vehicle, and transmitting the position of the second vehicle to a navigation system of the first vehicle.

Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking profile, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking profile and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.