Systems and apparatuses for receiving data from a plurality of sensors and using the data, as well as other data, to generate a parking recommendation for an autonomous vehicle and instruct the autonomous vehicle to travel to the recommended parking location are provided. Data may be received from a plurality of sensors within a first autonomous vehicle, as well as from other vehicles and/or structures. Historical parking data associated with the first autonomous vehicle may also be extracted. In some examples, an expected future trip of the first autonomous vehicle may be determined. The system may then evaluate the data to generate a parking recommendation for the first autonomous vehicle. The system may generate and transmit instructions for traveling from a current location to the recommended parking location and may cause the first autonomous vehicle to travel to the recommended parking location.

A personal electronic parking system and method adapted to identify, track, predict, alert, manage and collect payment, and enforce on-street and off-street parking, the system including a central cloud network adapted to generate and manage user data and parking data, a user interface adapted to show users parking information relevant to the user, a unique machine-readable code, wherein the code provides identification of a specific vehicle used by the user, one or more sensors, one or more meter devices adapted to connect with the central cloud network and the user interface, and a parking payment and enforcement portal.

An approach is provided for mapping a parking facility using multi-modal trajectories collected using mobile device(s). The approach, for example, involves collecting sensor data from sensor(s) of mobile device(s). The sensor data represents the multi-modal trajectories comprising (1) vehicle trajectory segments during which the device(s) traveling into/out of a parking facility, and (2) pedestrian trajectory segments during which the device(s) traveling to/from pedestrian entry/exit point(s) of the parking facility. The approach also involves processing the sensor data to determine semantic event(s) associated with parking in the parking facility based on the multi-modal trajectories. The approach further involves determining parking spot location(s) and/or orientation(s) of the parking facility based on the semantic event(s). The approach further involves generating map data indicating the parking spot location(s) and/or orientation(s). The approach further involves providing the map data as an output.

A computer-implemented method for vehicle parking analysis and identification is disclosed. The computer-implemented method includes determining one or more parking preferences and one or more parking requirements of a user. The computer-implemented method includes determining one or more parking spaces based on comparing the one or more ranked parking preferences and the one or more ranked parking requirements of the user to parking data associated with one or more available parking spaces. The computer-implemented method includes generating a parking space recommendation, wherein the parking space recommendation includes the one or more optimal parking spaces selected from the one or more available parking spaces.

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.

A management device of an automated valet parking system predicts a usage schedule of an automated valet parking service used by a user from usage history information about a usage history of the automated valet parking service used by the user. Then, the management device determines a parking position of a vehicle of the user among multiple parking lots with reference to the predicted usage schedule.

A method for reducing parking violations includes: searching for an empty parking spot in an area surrounding a vehicle; receiving, by a controller of the vehicle, parking restriction information in the area surrounding the vehicle, wherein the controller receives the parking restriction information from sensors of the vehicle; determining, by the controller of the vehicle, that the empty parking spot is invalid; and activating, by the controller of the vehicle, an alarm to alert a vehicle operator of the vehicle that the empty parking spot is invalid.

A vehicle presence detection system for determining whether a parking space is vacant or occupied and utilizing this information to guide vehicles to available parking spaces. generally includes a LIDAR device, a cloud-based processing unit, a database, and a guidance light. The LIDAR device generally includes a light emitter, a light sensor, a CPU, a memory unit, and a communications device. The LIDAR device determines the distance between itself and a parking spot or a vehicle parked in that parking spot using an algorithm that accounts for variances in the ambient conditions. This status information can be communicated to a cloud-based processing unit, which can store this information in a database and/or use this information to send parking status indications to an autonomous vehicle dynamic sign, mobile device, or guidance light.

The disclosure describes a method for an ego vehicle. The method includes determining that a vehicle needs to park. The method further includes identifying a parking facility within proximity to the vehicle and a corresponding congestion level of the parking facility. The method further includes selecting a first parking model from two or more parking models based on the corresponding congestion level being closer to a first congestion range than a second congestion range. The method further includes identifying a parking spot for the vehicle within the parking facility based on the first parking model.

A computer-implemented parking system including: a driver mobile electronic device configured to transmit a parking lot entry signal and a parking lot exit signal, and a coordinating computer system configured to receive the parking lot entry signal and the, parking lot exit signal, computer-controllable vehicle entry and vehicle exit barriers in communication with the coordinating computer system. The coordinating computer system is configured to: upon receipt of the entry signal transmit an open signal to the computer-controllable entry barrier station, and upon receipt of the exit signal transmit an open signal to the exit barrier station. Each entry and exit barrier station may include a receiver to receive the entry signal and parking lot exit signal, respectively. The receiver may be configured to detect or assist the coordinating computer system to detect, position of the driver mobile electronic device with reference to the computer-controllable entry or exit barrier station.