A vehicle parking management method, comprising: on at least one of a vehicle and a mobile device, acquiring current parking place information and a plurality of additional information of a parking lot, the current parking place information at least comprising a location of an unoccupied parking place, each additional information in the plurality of additional information being configured for identifying associated data; on the basis of the current parking place information and the additional information, generating a parking place distribution image, the parking place distribution image at least indicating the unoccupied parking place and the additional information; presenting the parking place distribution image; and in response to that an operation targeting the unoccupied parking place or the additional information is detected, generating a navigation indication related to a target unoccupied parking place.

The disclosure relates to a vehicle positioning method and system for a fixed parking scenario. The method includes: a marker detection step of detecting markers and identifying a pair of markers; a pose matching step of performing pose matching based on vehicle position information and the pair of markers; a non-pose matching step of performing non-pose matching based on the pair of markers, to obtain latest vehicle position information; and a position update step of updating current vehicle position information based on the latest vehicle position information obtained in the pose matching step or the non-pose matching step.

A curb management system for a host vehicle includes a sensor, an electronic controller, and a wireless communication system. The sensor is configured to detect information relating to a presence of a parked vehicle along a curb of a road. The electronic controller is configured to determine curb management information based on the information detected by the sensor. The wireless communication system is configured to transmit the curb management information to a remote server and to receive a predicted curb availability from the remote server.

A parking assist apparatus comprises a position detection unit configured to detect a current position of a vehicle, a sensor provided to the vehicle to detect a periphery of the vehicle, a parking area detection unit configured to detect a parking area in which the vehicle can be parked based on information of the sensor, a parking path computing unit configured to calculate a path along which the vehicle is to be moved from a current position to the parking area based on a parking area detected by the parking area detection unit and a current position of the vehicle.

A system, method, infrastructure, and vehicle for supporting automated valet parking are provided. The automated valet parking method may include: establishing, by a vehicle, a communication with an infrastructure facility; receiving, by the vehicle, a target position and a guide route from the infrastructure facility after the communication is established; performing, by the vehicle, an autonomous driving based on the guide route; and parking, by the vehicle, at the target position.

An apparatus and method for providing a top view image of a parking space are provided. The apparatus includes a steering angle sensor that measures a steering angle of a vehicle, a top view image generator that generates a top view image of a parking space depending on travel of the vehicle, a display that displays the top view image generated by the top view image generator, and a controller that captures the top view image displayed by the display and generates a panorama top view image by connecting the current top view image generated by the top view image generator and the captured previous top view image, based on the steering angle measured by the steering angle sensor.

An Automated Parking System (“APS”) for a motor vehicle includes a plurality of cameras for generating a vision signal, in response to the cameras capturing an image of a region surrounding the motor vehicle. The APS includes a processor for receiving the vision signal from the cameras. The APS further includes a non-transitory computer readable storage medium for storing instructions such that the processor is programmed to execute a plurality of routines. The routines include a detection module for detecting one or more landmark points in the image. The routines further include an estimate slot module for determining one or more corners of a parking slot based on the landmark points. The routines further include a maneuver module for generating an action signal, with a power steering system maneuvering the motor vehicle into the parking slot based on the corners.

A method of generating a context-rich parking event of a target vehicle taken by a patrol vehicle including obtaining a plate read event identifying an identifier of the target vehicle; initiating a collection of a first context image of a first view of the target vehicle; obtaining of geolocation information; obtaining temporal information; verifying if at least one condition is met by calculating if at least one of: a temporal constraint threshold is reached by using the temporal information; and a position constraint threshold is reached by using the geolocation information; initiating a collection by the patrol vehicle of a second context image of a second view of the target vehicle; and causing an association between the second context image and the plate read event to generate the context-rich parking event.

Technologies and techniques for providing assistance to a motor vehicle during a process of exiting a lateral parking space. A device is configured with at least one surroundings sensor system and at least one control unit with an assigned memory to acquire successive values of distances from adjacent motor vehicles during a parking process and to store them in a map of the surroundings. The device may be designed in such a way that, before the start of the process of exiting a parking space, current values of distances from the adjacent motor vehicles are acquired and compared with the distance values stored in the map of the surroundings, wherein, when they correspond, a parking-space-exiting trajectory is made available by means of the map of the surroundings.

In one embodiment, a computer-implemented method of autonomously parking an autonomous driving vehicle, includes generating environment descriptor data describing a driving environment surrounding the autonomous driving vehicle (ADV), including identifying a parking space and one or more obstacles within a predetermined proximity of the ADV, generating a parking trajectory of the ADV based on the environment descriptor data to autonomously park the ADV into the parking space, including optimizing the parking trajectory in view of the one or more obstacles, segmenting the parking trajectory into one or more trajectory segments based on a vehicle state of the ADV, and controlling the ADV according to the one or more trajectory segments of the parking trajectory to autonomously park the ADV into the parking space without collision with the one or more obstacles.