The invention relates to automobile intelligent driving technologies, and in particular, to a method for tracking an object within a video frame sequence, an automatic parking method, an image processing apparatus for implementing the foregoing methods, a vehicle controller, and a computer-readable storage medium. A method for tracking an object within a video frame sequence according to an aspect of the invention is provided, the video frame sequence including at least one first video frame and at least one second video frame that are captured by an onboard image obtaining apparatus, where the second video frame is later than the first video frame in terms of time, and the method includes the following steps: determining a relative position relationship between a first object and a second object based on the first video frame, where the relative position relationship remains unchanged within the video frame sequence; and updating a position of the second object based on the relative position relationship and a position of the first object that is determined based on the second video frame.

An external appearance image of a power transmission unit of a wireless power supply device is registered in a parking assist apparatus in association with identification information on the wireless power supply device. The parking assist apparatus superimposes and displays a target parking area image on a parking space image showing a parking space, and superimposes and displays the external appearance image associated with identification information having the same content as the identification information acquired from the wireless power supply device by wireless communication at a position corresponding to an installation position of the power transmission unit on the parking space image.

A vehicle parking assistance device includes an image sensing device, an artificial intelligence learning device, and a controller connected with the image sensing device and the artificial intelligence learning device. The controller is configured to obtain an image using the image sensing device, detect at least one parking line pair in the obtained image, detect a parking slot based on deep learning, detect a parking area based on the detected parking slot and the at least one detected parking pair, detect an entrance point for the parking area, and generate parking information based on the parking area and the entrance point.

Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for navigating a host vehicle based on detecting a door opening event may include at least one processing device. The processing device may be programmed to receive at least one image associated with the environment of the host vehicle, analyze the at least one image to identify a side of a parked vehicle, identify a first structural feature of the parked vehicle and a second structural feature of the parked vehicle, identify a door edge of the parked vehicle in a vicinity of the first and second structural features, determine a change of an image characteristic of the door edge of the parked vehicle, and alter a navigational path of the host vehicle based at least in part on the change of the image characteristic of the door edge of the parked vehicle.

A vehicular vision system includes a plurality of cameras and a processor operable to process image data captured by the cameras. The plurality of cameras includes a front camera, a rear camera, a driver-side camera and a passenger-side camera. Images derived from image data captured by at least some of the cameras are displayed on a display screen of the vehicle for viewing by a driver of the vehicle during a driving maneuver of the vehicle. During the driving maneuver of the vehicle, the display screen displays a three dimensional vehicle representation as would be viewed from a viewpoint exterior to the vehicle. A portion of the displayed three dimensional vehicle representation is at least partially transparent. A degree of transparency of the portion of the displayed three dimensional vehicle representation is adjustable.

A parking guide system, including: a memory which stores camera parameter information and design reference information; a travelling detecting unit which measures travelling information; an image receiving unit which sequentially receives a first image taken before travelling and a second image taken after the travelling from a camera; a characteristic point extracting unit which extracts and matches characteristic points commonly included in the first and images; a homography calculating unit configured to calculate a first homography based on the camera parameter information, the design reference information, and the travelling information, and calculate a second homography that is a homography between the first image and the second image based on coordinates of the characteristic point; and an error calculating unit which calculates a third homography that is a homography for correcting an image according to a result of a comparison of the first homography and the second homography.

A vehicle parking assist apparatus acquires a camera image when the vehicle stops by a non-determined parking lot and acquires feature points of a ground of an entrance of the non-determined parking lot as non-compared entrance feature points from the camera image. The vehicle parking assist apparatus determines whether the non-determined parking lot is a registered parking lot by comparing information on the non-compared entrance feature points with registered entrance feature point information. The vehicle parking assist apparatus executes a parking assist control with using the currently-acquired parking lot information and the registered parking lot information when the vehicle parking assist apparatus determines that the non-determined parking lot is the registered parking lot.

A method and system for creating a map of an environment surrounding a vehicle includes a camera for obtaining images including objects within an environment from at least one camera mounted on the vehicle and a controller configured to create a depth map of the environment based on the images and vehicle odometry information. A laser scan of the depth map is created and used to create a two-dimensional map utilized for operating the vehicle.

A method and system for a vehicle control system generates maps utilized for charting a path of a vehicle through an environment. The method performed by the system obtains information indicative of vehicle movement from at least one vehicle system and images including objects within an environment from a camera mounted on the vehicle. The system uses the gathered information and images to create a depth map of the environment. The system also generates an image point cloud map from images taken with a vehicle camera and a radar point cloud map with velocity information from a radar sensor mounted on the vehicle. The depth map and the point cloud maps are fused together and any dynamic objects filtered out from the final map used for operation of the vehicle.

A vehicular trailer hitching assist system includes a camera disposed at a rear portion of a vehicle and having a field of view exterior of the vehicle, the field of view encompassing at least a portion of a trailer rearward of the vehicle. The camera captures image data representative of the trailer rearward of the vehicle. A control includes a processor operable to process image data captured by the camera. The control, responsive to processing of image data captured by the camera, detects a trailer hitch coupler of the trailer rearward of the vehicle. The control, responsive to detecting the trailer hitch coupler, estimates an initial height and an initial location of the detected trailer hitch coupler. The ECU tracks the position of the trailer hitch coupler in subsequent frames and the ECU selects a current frame and a previous frame of captured image data to refine the initial height.