An object recognition apparatus learns an axis displacement amount of a reference axis of first object detecting means, combines and integrates, as information belonging to a same object, a plurality of pieces of information present within a first combining area and a second combining area, when a positional relationship between the first combining area and the second combining area meets a predetermined combinable condition. The first combining area is set as an area in which pieces of information related to the object acquired by the first object detecting means are combined. The second combining area is set as an area in which pieces of information related to the object acquired by second object detecting means are combined. The object recognition apparatus variably sets sizes of the first combining area and the second combining area based on a learning state of the axis displacement amount of the reference axis.

An electronic mirror device includes: a display that is mounted on an installation position of a rear-view mirror in an interior of a vehicle; and a controller that controls the display. The display includes: a body case having an opening on a side of a driver seat of the vehicle; an image display unit that is mounted to the body case and displays the camera image; and a half mirror disposed at a side of the driver seat of the image display unit. The controller identifies an object moving in a direction toward the vehicle in the camera image, and displays a camera image in which a size of the identified object in a display image on the image display unit is magnified or reduced to a size of the object reflected in the half mirror viewed from the driver seat, on the image display unit.

The method may include receiving first location information of a vehicle through a location information module, capturing an image through a camera while the vehicle is driven, extracting characteristic points from the captured image and converting the captured image into a 3-D image, obtaining second location information by correcting the first location information based on a moving displacement and orientation direction of the camera installed on the vehicle, extracting an aerial view from the 3-D image based on the moving displacement and orientation direction of the camera, estimating a moving path of the vehicle using locations of traffic lanes included in the aerial view and the second location information, and displaying the captured image and the moving path of the vehicle in augmented reality by combining the captured image and the moving path. According to the present invention, accurate location information can be provided when a vehicle is driven.

There are provided an apparatus, a method, and an autonomous moving body which allow a recognition target to be notified with certainty that the recognition target is recognized by an autonomous moving body. A recognition result presenting apparatus according to an embodiment of the present disclosure detects a recognition target (person) present within a predetermined range from an automatic driving vehicle and presents, to the detected recognition target (person), the result of recognition indicating that the automatic driving vehicle recognizes the recognition target (person).

A driver assistance system for a vehicle includes a camera disposed at a vehicle and having a field of view forward of the vehicle. A control includes an image processor that is operable to process image data captured by the camera. Responsive to processing by the image processor of image data captured by the camera, the image processor is operable to determine lane markings demarcating the lane in which the vehicle is traveling. Responsive to processing by the image processor of captured image data and responsive to at least one of (i) a map input and (ii) a location input, the control estimates a path of travel for the vehicle to maintain the vehicle in the lane in which the vehicle is traveling in situations where the lane markings demarcating the lane in which the vehicle is traveling are not readily determinable.

Vehicle-mounted camera pose estimation methods, apparatuses, and systems, and electronic devices involve performing lane line detection of a road on which a vehicle drives on the basis of a video stream of the road acquired by a vehicle-mounted camera; obtaining horizon information of the road on which the vehicle drives according to a lane line detection result; and obtaining pose information of the vehicle-mounted camera according to the horizon information.

A pair of outside view displays that are provided on an instrument panel, are located outside a steering in a vehicle width direction, and display captured outside view images and displays that are provided inside the outside view displays in the vehicle width direction and have display regions from a driver seat to a front passenger seat are provided, and the outside view displays are provided so as to face the inside in the vehicle width direction and are disposed such that inner ends of the outside view displays are located on a front side of the vehicle relative to closer left and right ends of the displays.

The present disclosure provides a method, a device, and an apparatus for processing data, and a movable platform; the method is applied to the movable platform that includes a sensor, and includes: collecting at least two directions of an environment surrounding the movable platform through a sensor, performing three-dimensional reconstruction of the environmental data in the at least two directions to obtain three-dimensional environmental information of the environment surrounding the movable platform, and further displaying the three-dimensional environmental information on a display apparatus. The present disclosure may assist a driver in driving and improve the driving safety of the movable platform.

In various examples, two or more cameras in an automotive surround view system generate two or more input images to be stitched, or combined, into a single stitched image. In an embodiment, to improve the quality of a stitched image, a feedback module calculates two or more scores representing errors between the stitched image and one or more input images. If a computed score indicates structural errors in the stitched image, the feedback module calculates and applies one or more geometric transforms to apply to the one or more input images. If a computed score indicates color errors in the stitched image, the feedback module calculates and applies one or more photometric transforms to apply to the one or more input images.

An information providing device 1 of a motorcycle includes: an image acquisition section 10 that acquires an image of a road; a lane detection section 12 that detects a lane from the image and detects a radius of curvature of the detected lane and a lateral distance from the host vehicle to the lane; a host vehicle trajectory curvature calculation section 14 that calculates a radius of curvature of a host vehicle trajectory on the basis of the radius of curvature of the lane and the lateral distance; a vehicle speed acquisition section 16 that acquires a vehicle speed of the host vehicle; an inclination angle calculation section 18 that calculates an inclination angle of the host vehicle on the basis of the radius of curvature of the host vehicle trajectory and the vehicle speed.