A method and an apparatus for detecting a parking place and a direction angle of the parking place, a device, a vehicle, and a computer readable storage medium are provided. The method includes: obtaining a to-be-detected image; identifying corner points of a parking space in the to-be-detected image and cropping the to-be-detected image based on the corner points of the parking space to obtain a candidate parking space image; and performing detection by using a pre-trained parking space detection model based on the candidate parking space image to obtain a parking space detection result, where the parking space detection result indicates whether the candidate parking space image represents a real parking space, and in a case that the candidate parking space image represents the real parking space, the parking space detection result further includes a direction angle of the parking space.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive an image associated with the environment of the host vehicle. The processor may analyze the image to identify a side of a parked vehicle; a first structural feature of the parked vehicle in a forward region of the side of the parked vehicle or a second structural feature of the parked vehicle in a rear region of the side of the parked vehicle; and a door feature of the parked vehicle in a vicinity of the first or the second structural features. The processor may then determine, based on a subsequent image, a change of an image characteristic of the door feature of the parked vehicle and alter a navigational path of the host vehicle based on the change of the image characteristic.

A method and system for autonomous parking are disclosed. The system employs Homography guided motion segmentation (HGMS) to determine the availability of a parking slot. A free parking slot is determined based on an occupancy status check and identified structures of parking lines. For example, motion analysis is performed on successive images captured by a camera unit to determine the occupancy status of a parking slot. Information of the free parking slot, for example, the dimensions and orientation, may be determined from identifying the structure of parking lines. This information is used by the system to guide a vehicle from its current location to the detected free parking slot.

To implement quick and smooth parking assistance close to a human sense without being affected by an environment of a parking space. A 3D semantic segmentation image having a plurality of pixel units, each pixel unit of the plurality of pixel units including the depth data and class information, are generated, an available parking space is searched for on the basis of the 3D semantic segmentation image, and a path to the searched parking space is planned and a vehicle is controlled. The present disclosure can be applied to a parking assistance system.

An automated parking system for a vehicle includes a camera configured to obtain images of objects proximate the vehicle, and a controller configured to review the obtained images of objects proximate the vehicle to classify an environment proximate the vehicle, determine a type of parking lot associated with the classified location and initiate an automated parking function of the vehicle corresponding to the determined type of parking lot.

Methods and systems are provided for a fluid leak diagnostic. In one example, a method may include intrusively increasing a fluid pump displacement to determine if an internal fluid leak is occurring. The method may further include adjusting a parking routine to determine if an external fluid leak is occurring.

A detection system implemented in a vehicle to detect free parking space is disclosed. The system comprises an input unit for imaging perspective view around the vehicle and a processing unit to receive a sequence of images from the at least one image sensor and detect at least one polygon pertaining to a parking slot in at least one image of the sequence of images, transform the at least one image into a bird's-eye-view image using a homography matrix, detect at least one quadrilateral pertaining to a parking slot, transform the bird's-eye-view image comprising the at least one quadrilateral, into corresponding image pertaining to perspective view around the vehicle using an inverse homography matrix, to analyse real world co-ordinates of the parking slot, and determine type of the parking slot by computing real world dimensions based on analysis of the real world co-ordinates of the parking slot.

An apparatus that provides an around view image and that includes: a camera unit that is configured to obtain an outside image of the vehicle; and a processor that is configured to: determine a connection state between a trailer and the vehicle, receive the outside image of the vehicle from the camera unit, based on the outside image of the vehicle, determine an attitude of the trailer, and based on the attitude of the trailer, generate a control signal to control travel of the vehicle is disclosed.

An image recognition device has a searcher, a determiner, and recognizer. The searcher searches for a demarcation line indicating a parking bay based on a first taken image obtained by a first camera taking an image around a vehicle. The determiner determines a parking position at which to park based on the result of searching by the searcher. The recognizer recognizes, after determination by the determiner, the demarcation line based on a second taken image obtained by a second camera taking an image around the vehicle. The recognizer corrects the recognition of the demarcation line in the second taken image based on the result of recognition, obtained in the searcher, of the first taken image.

A mobile assistance system includes: a mobile assistance terminal to be mounted on a mobile body and configured to acquire mobile body peripheral information as information on a periphery of the mobile body; and a mobile assistance apparatus configured to update map information, based on the mobile body peripheral information transmitted from the mobile assistance terminal.