A parking assistance apparatus includes: a parking space searching unit for searching for a parking-allowable parking space in which a user's vehicle can be parked; a target parking space selection unit for selecting a target parking space in which the user's vehicle is to be parked, based on an user setting information, when a plurality of parking-allowable parking spaces are detected; a parking operation assisting unit for assisting in a parking operation for parking the user's vehicle in the target parking space; and a parking operation assistance start determination unit for determining whether or not a determination condition for starting a parking operation is satisfied according to a state of the user's vehicle, and causing the parking operation assisting unit to start assisting in the parking operation when the determination condition is satisfied.

The embodiments of the present disclosure provide a method for recommending a parking lot in a smart city and an Internet of Things system, implemented based on a management platform of an Internet of Things system for recommending a parking lot in a smart city. The method includes: determining an arrival duration of a user reaching at least one candidate parking lot and a prediction time period corresponding to each candidate parking lot in the at least one candidate parking lot based on a user request; determining an occupation rate of the candidate parking lot during the prediction time period; and determining a recommended parking lot at least based on the occupation rate of the candidate parking lot during the prediction time period and parking lot information of the candidate parking lot.

This disclosure is generally directed to systems and methods for eliminating false activation of components of a vehicle when the vehicle is parked in a garage. Example components can be a door lock, a door latch, a door activation servomotor, or a light. In an example method, a vehicle entry authorization system of a vehicle operates a sensor system to obtain dimensional information of an interior portion of the garage. The vehicle entry authorization system may then detect a presence of a mobile device (such as a phone-as-a-key or a vehicle key fob) and determines the location of the mobile device based on the dimensional information. If the mobile device is located outside the garage, the vehicle entry authorization system refrains from activating a component of the vehicle. However, if the mobile device is located inside the garage, the vehicle entry authorization system activates the component.

A method for automatically learning parking preferences for a driver and generating parking recommendations includes generating training data based at least in part on: 1) trajectory data indicating a trajectory of a vehicle during a plurality of parking events, each in which a driver of the vehicle selected a parking candidate from among a plurality of parking candidates, and 2) attribute data indicating attributes of each of the plurality of parking candidates, removing, from the training data, data associated with at least one available parking candidate based on one or more conditions that indicate the driver did not consider the at least one available parking candidate, and training a decision model, based on remaining training data, to estimate a preferred parking candidate for the driver from among a set of available parking candidates.

Techniques and examples pertaining to parking management and communication of parking information are described. A processor of a computing apparatus may obtain sensor data regarding a parking lot from a parking lot controller. The processor may analyze the sensor data. The processor may receive, from a client, a request for assistance with parking at the parking lot. The processor may provide, to the client, information on a location and status of a space (e.g., open space) in the parking lot, a path to the space, or both.

Aspects relate to methods and systems for controlling usage of parking maps for autonomous parking. In some embodiments, an exemplary system includes a computing device, configured to receive a first parking map representative of a first point of interest, wherein the first parking map comprises a first access datum, generate a first map metric associated with the first parking map, and selectively communicate the first parking map with a first remote device as a function of the first access datum.

A plan proposal device includes a controller configured to predict, as a user action, an action of a first user in a certain period, including parking a vehicle in a parking lot shared by a plurality of users including the first user, generate proposal data for proposing an action plan in the certain period based on an obtained prediction result and information on the parking lot in the certain period, and output the generated proposal data.

A method, apparatus, and computer program product are provided for identifying on-street parking from aerial imagery. A method may include: receiving an aerial image of a geographic region; applying an object detection algorithm to the received aerial image to identify vehicle objects within the aerial image; identifying one or more clusters of vehicle objects within the aerial image; generating cluster lines for the one or more clusters of vehicle objects; map matching the cluster lines for the one or more clusters of vehicle objects to a map of the geographic region; and identifying on-street parking for a road segment in response to a cluster line of the cluster lines for the one or more clusters of vehicle objects satisfying predetermined criteria with respect to the road segment.

This document describes systems and techniques that may be used to aggregate information about open parking spots from various different parking providers or organizations.

A method implemented in a parking management system for parking autonomous vehicles in a parking slot free manner, a method implemented in an autonomous vehicle and an autonomous vehicle adapted to perform the method. The method comprises the steps of requesting to park in a parking space. A parking position is determined based on the vehicle length and width and, based on the length and width of the vehicles forming the vehicle cluster at which the vehicle is intended to be parked. The method is a very flexible way of managing parking space for autonomous vehicles.