In accordance with one aspect of the present disclosure, a vehicle controls a vehicle includes: acquiring a direction and a distance value of the obstacle as position information of the obstacle based on radar data received through at least one of a plurality of reception channels corresponding to the angular resolution in the lateral direction of an obstacle detector, identifies a collision point that may collide with the obstacle based on the acquired position information of the obstacle, controls at least one of steering and braking based on the position information of the identified collision point; and when controlling the steering, acquires a collision avoidance margin distance value corresponding to the position information of the identified collision point, predicts the collision position based on the position information of the obstacle and the information detected by the velocity detector, acquires a distance value between the predicted collision position and the current position, acquires a movement distance value in the lateral direction based on the acquired distance value and a preset turning radius of the vehicle, acquires a steering angle based on the acquired movement distance value in the lateral direction and the acquired collision avoidance margin distance value and controls steering based on the acquired steering angle.

Achieving safety and natural automatic driving needs a control platform using intelligence (such as learning function and artificial intelligence), but it is difficult to ensure operations suited for the behavior of a vehicle by the output of intelligence. An automatic driving device according to the present invention includes a control program for inputting outside information and vehicle information, and outputting a target control value for a vehicle. The control program has a first program for generating a first target control amount on the basis of a dynamically changing algorithm (which outputs operations based on learning function or artificial intelligence), and a second program for generating a second target control amount on the basis of a prescribed algorithm (which outputs operations according to traffic rules or driving morals).

A device includes: a reference confidence degree calculation unit configured to calculate a reference confidence degree in estimating the position of the host vehicle at a candidate passing position of the host vehicle set in advance based on the position information on the object on the map; a shield information acquisition unit configured to acquire shield information based on a result of detection; a shielding influence degree calculation unit configured to calculate a shielding influence degree in estimating the position of the host vehicle at the candidate passing position based on the shield information; and a confidence degree calculation unit configured to calculate a confidence degree in estimating the position of the host vehicle at the candidate passing position based on the reference confidence degree and the shielding influence degree.

An electronic control unit for a vehicle for switching vehicle control from an autonomous driving mode includes one or more processors, network interface hardware configured to communicate with a remote server over a network, and one or more memory modules that store logic. The electronic control unit executes logic to determine that the autonomous driving mode of the vehicle will terminate, determine that a driver is unavailable to take immediate control of the vehicle upon termination of the autonomous driving, transfer control of the vehicle to a remote operator over the network interface hardware for a first time period, generate an alert to the driver to take manual control of the vehicle, and transfer control of the vehicle to one of the driver and the autonomous driving mode after the first time period has elapsed.

A route setting method capable of causing a host vehicle to continuously follow traveling tracks of other vehicles including a preceding vehicle so as to travel stably uses a peripheral vehicle sensor installed in the host vehicle to detect positions of other vehicles traveling around the host vehicle, and a controller for setting a route of the host vehicle according to traveling tracks of the other vehicles based on histories of positions of the other vehicles, the method including calculating a displaced amount of traveling tracks of the preceding vehicle specified from the other vehicles, and setting the route of the host vehicle according to traveling tracks of another vehicle different from the preceding vehicle when the displaced amount of the traveling tracks of the preceding vehicle is a threshold or greater.

A method is disclosed to operate a motor vehicle using a driver assistance system. The driver assistance system includes, for at least one driver assistance system function, at least one criterion relating to a vehicle environment. The at least one criterion is defined for an adaptation of the driver assistance system function, a number of features of the environment of the vehicle are detected, a probability of the occurrence of at least one criterion is estimated on the basis of a combination of the detected features, and the driver assistance system function is adapted on the basis of the estimated probability.

A system for navigating a host vehicle may: receive, from an image capture device, an image representative of an environment of the host vehicle; determine a navigational action for accomplishing a navigational goal of the host vehicle; analyze the image to identify a target vehicle in the environment of the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the navigational action was taken; determine a maximum braking capability of the host vehicle, a maximum acceleration capability of the host vehicle, and a speed of the host vehicle; determine a stopping distance for the host vehicle; determine a speed of the target vehicle and assume a maximum braking capability of the target vehicle; and implement the navigational action if the stopping distance for the host vehicle is less than the next-state distance summed together with a target vehicle travel distance.

A technology is provided in which not only the information on the first preceding vehicle ILV but also the information on the preceding vehicle group LVG ahead of the first preceding vehicle ILV is applied to the travel assist control. Firstly, specification processing of a preceding vehicle LV on the own lane is executed (step S1). Subsequently, landmark information on the preceding vehicle LV is graded (step S2). Subsequently, a shielding ratio SR of the preceding vehicle LV belonging to the preceding vehicle group LVG is calculated for each preceding vehicle LV (step S3). Subsequently, determination processing is executed whether or not to apply the information on the preceding vehicle group LVG to travel assist control (step S4).

A remote control device includes: a user input device that receives a user input; a display that displays a user interface for controlling torque of a power source of a vehicle; a communication device in wireless communication with a remote parking assist system; and a processor that operates the user interface in response to the user input and transmits a control signal according to an operation of the user interface to the remote parking assist system. The processor resizes a component of the user interface and displays the resized component when the vehicle is immovable while the remote parking assist system is in operation.

The present invention relates to the technical field of automobile maintenance and discloses a calibration device for a lane keeping assist (LKA) system. The calibration device includes a support apparatus, a laser and a pattern board. The support apparatus includes a horizontal graduated scale. The laser is configured to be mounted on the body of an automobile and to emit a laser beam to the horizontal graduated scale. The pattern board is mounted on the support apparatus and is configured to attach an alignment pattern. By means of the calibration device, two lasers are mounted on wheels on two sides of the automobile. Two laser beams that are emitted from equal distances with the wheels being reference points are irradiated to the horizontal graduated scale. Based on marks on the horizontal graduated scale, the support apparatus may be moved to an appropriate position to calibrate the centerline of the automobile.