Embodiments of this application provide a method and an apparatus for determining drivable region information. The method includes obtaining first information, where the first information includes information about an initial drivable region determined based on at least one image, and the at least one image is from at least one camera module. The method also includes obtaining second information, where the second information includes radar detection information. The method further includes determining first drivable region information based on the first information and the second information.

Vehicle alignment systems and methods are disclosed which operate based on a calculation of “drive direction,” or the direction in which a vehicle is moving. Since a vehicle can be assumed to be a rigid body, each wheel has the same drive direction. Consequently, an alignment parameter of one wheel can be compared to the same parameter of another wheel by equating their drive direction, eliminating the need for the aligner to “see” both sides of the vehicle at the same time. Embodiments include a system having one or more cameras on a fixture carrying a calibration element for an ADAS system, and one or more targets placed on the vehicle to measure the drive direction of the vehicle. The drive direction is assumed to be parallel to the vehicle thrust line and can be used as the line for orientation of the fixture to the vehicle.

A motor-vehicle path-controlling module is arranged to model the path of the vehicle during a change in traffic lane by a Bezier curve relating a value of a parameter to a value of a lateral deviation of the vehicle from the center of a traffic lane and to a value of a time-dependent variable representative of the variation in the change of path; determine a setpoint state vector of a closed feedback loop of a path-controlling device, the loop being designed to control the motor vehicle so that it follows the path modelled by the Bezier curve, the vector being determined on the basis of the lateral deviation, of the time-dependent variable and of the parameter, and transmit the setpoint state vector to the input of the loop.

A motor-vehicle path-controlling module is arranged to model the path of the vehicle during a change in traffic lane by a Bezier curve relating a value of a parameter to a value of a lateral deviation of the vehicle from the center of a traffic lane and to a value of a time-dependent variable representative of the variation in the change of path; determine a setpoint state vector of a closed feedback loop of a path-controlling device, the loop being designed to control the motor vehicle so that it follows the path modelled by the Bezier curve, the vector being determined on the basis of the lateral deviation, of the time-dependent variable and of the parameter, and transmit the setpoint state vector to the input of the loop.

A reverse direction traveling detection apparatus including a microprocessor. The microprocessor is configured to perform acquiring an actually measured road surface profile of a road surface on which a vehicle is traveling, determining a travel direction of the vehicle based on position information of the vehicle, further determining whether a coincidence degree between the actually measured road surface profile and a first reference road surface profile in a first lane is equal to or greater than a predetermined value when it is determined that the travel direction of the vehicle is a first direction, and determining whether the vehicle travels in reverse direction based on the actually measured road surface profile and a second reference road surface profile in a second lane when it is determined that the coincidence degree is less than the predetermined value.

A reverse direction traveling detection apparatus including a microprocessor. The microprocessor is configured to perform acquiring an actually measured road surface profile of a road surface on which a vehicle is traveling, determining a travel direction of the vehicle based on position information of the vehicle, further determining whether a coincidence degree between the actually measured road surface profile and a first reference road surface profile in a first lane is equal to or greater than a predetermined value when it is determined that the travel direction of the vehicle is a first direction, and determining whether the vehicle travels in reverse direction based on the actually measured road surface profile and a second reference road surface profile in a second lane when it is determined that the coincidence degree is less than the predetermined value.

Systems and methods for characterizing a driving style of an autonomous vehicle are presented. A system may include one or more sensors configured to collect information concerning driving characteristics; a memory containing computer-readable instructions for evaluating the driving characteristics for a pattern(s) correlatable with a driving style of the autonomous vehicle and for characterizing aspects of driving style based on the one or more patterns; and a processor configured to evaluate the driving characteristics for the one or more patterns correlatable with the driving style, and characterize aspects of the driving style based on the pattern(s). Corresponding methods and non-transitory media are disclosed.

An automatic parking system is provided. The automatic parking system includes a camera processor that acquires images around a subject vehicle, converts the acquired images into external images and synthesizes the external images. A sensor processor measured spaced distances between the subject vehicle and surrounding vehicles. A parking space recognizing unit periodically receives the spaced distances and the external images and comparing the consecutive external images with the spaced distances using an image recognition technology to recognize parking areas. A controller calculates a moving path between a current position of the subject vehicle and an optimal parking area and operates the subject vehicle based on the moving path.

An automatic parking system is provided. The automatic parking system includes a camera processor that acquires images around a subject vehicle, converts the acquired images into external images and synthesizes the external images. A sensor processor measured spaced distances between the subject vehicle and surrounding vehicles. A parking space recognizing unit periodically receives the spaced distances and the external images and comparing the consecutive external images with the spaced distances using an image recognition technology to recognize parking areas. A controller calculates a moving path between a current position of the subject vehicle and an optimal parking area and operates the subject vehicle based on the moving path.

The present invention relates to a vehicle user interface device including a display configured to display a first Augmented Reality (AR) graphic object at a point in a display area corresponding to a first point, and at least one processor configured to obtain distance data between a vehicle and the first point and change the first AR graphic object based on the distance data.