A vehicle conveyance control apparatus for controlling a plurality of conveyance devices, includes a processor and a memory coupled to the processor. Each of the plurality of conveyance devices is configured to lift each tire of a vehicle to convey the vehicle from a predetermined area of a parking lot to a parking space. The processor is configured to perform: acquiring vehicle information including tire position information of each tire of the vehicle detected in the predetermined area; selecting conveyance devices to convey the vehicle from among the plurality of conveyance devices different in conveyance capacity for lifting each tire of the vehicle to convey the vehicle based on the tire position information of the vehicle acquired in the acquiring; and instructing the conveyance devices selected in the selecting to convey the vehicle from the predetermined area to the parking space.

This disclosure describes systems and methods for determining vehicle parking scores. An example method may include calculating, subsequent to a first vehicle parking within a first parking space of a parking lot and based on first sensor data obtained by the first vehicle, a first vehicle parking score. The example method may also include calculating, subsequent to a second vehicle parking within the first parking space of the parking lot and based on second sensor data obtained by the second vehicle, a second vehicle parking score. The example method may also include calculating a first average vehicle parking score for the first parking space based on the first vehicle parking score and the second vehicle parking score. The example method may also include presenting an indication of the first average vehicle parking score for the first parking space to a third vehicle within the parking lot.

One aspect of the invention relates to a method for signaling information to the operator of the remote control for a parking assistance system which can be controlled by remote control from outside of a motor vehicle for automatically parking the motor vehicle into a parking space. The method includes detecting surroundings information with respect to the vehicle surroundings on the motor vehicle side using a surrounding sensor system of the motor vehicle. The parking assistance system in the motor vehicle detects a parking space on the basis of the surroundings information, and information on the detection of a parking space is transmitted from the motor vehicle to the remote control via a wireless communication connection. On the basis of the received information, the remote control signals the presence of the detected parking space to the operator.

Among other things, techniques are described for forecasting occupancy of a vehicle location. This includes receiving, by at least one processor, status information of a parking location the status information representing an availability of the parking location; predicting, by the at least one processor, a future status of the parking location based on the received status information; determining, by the at least one processor, a destination based on the predicted future status of the parking location; and providing, by the at least one processor, the predicted future status to a controller of a vehicle for controlling the vehicle to drive to the destination.

A remote parking apparatus comprises an electronic control unit which executes a remote parking control to move an own vehicle and park the own vehicle in a designated parking space in response to receiving a signal transmitted wirelessly from an operation terminal. The electronic control unit is configured to set a parking space as the designated parking space even when there is an obstacle interrupting parking the own vehicle in the parking space.

According to an embodiment, a method for providing a smart parking space guide service to provide a real-time moving route and occupancy state is executed by a parking space guide service provider server and comprises starting to trace a vehicle's moving route upon receiving the vehicle's entry event from an entry recognition device for recognizing entry of the vehicle into a parking lot, updating, in real-time, the vehicle's moving route upon real-time entry of the vehicle's moving route from at least one movement recognition device, displaying occupancy by the vehicle's parking on a pre-stored parking spot map upon sensing the vehicle's parking state from any one of at least one vehicle recognition sensor installed in at least one parking spot, and updating, in real-time, and displaying the vehicle's moving route and occupancy state on the pre-stored parking spot map.

A remote parking system includes: a terminal configured to transmit a ranging signal; plural reception units provided with a reception surface to receive the ranging signal and configured to detect an arrival direction of the ranging signal with respect to the reception surface; and a control device configured to acquire a distance from the terminal to a vehicle based on the arrival direction of the ranging signal and a reference posture of each of the reception units and to move the vehicle toward a parking position based on an operation input to the terminal in a case where the control device determines that the acquired distance from the terminal to the vehicle is equal to or less than a prescribed threshold. The control device is configured to cause the terminal to display an intensity of the ranging signal received by at least one of the reception units.

A method for auctioning a wait time of a user of a vehicle parked in an available parking space includes: posting details regarding the available parking space; posting, by a user of at least one unparked vehicle, a requirement for a parking space in a designated area; matching the designated area with the location of the available parking space, the matching determining a list of unparked vehicles having a requirement for the available parking space; presenting information regarding the available parking space to the user of each unparked vehicle on the list of unparked vehicles; bidding, by the user of at least one unparked vehicle on the list of unparked vehicles, on the wait time of the user of vehicle parked in the available parking space; determining a winning bid; and notifying the user of the unparked vehicle who placed the winning bid.

An information providing system includes an onboard device and a server that transmits information to and receives information from the onboard device. The onboard device includes a condition setting unit that acquires a destination and an output mode and transmits the acquired destination and the acquired output mode to the server. The onboard device further includes an output unit that outputs parking lot recommendation information which is received from the server. The server includes a storage unit that stores parking lot information including position information of parking lots and parking fees which are detected from a captured image of the parking lots. The server further includes an information providing unit that prioritizes parking lots which are located within a predetermined range from the destination based on the output mode provides the parking lot information of the prioritized parking lots as the parking lot recommendation information to the onboard device.

A system includes a processor and a memory storing instructions that, when executed by the processor cause the system to generate a machine learning model; generate an artificial neural network; analyze an image of a parking area using a spot detection machine learning model; analyze the image of the parking area using a vehicle detection machine learning model; and classify a parking space as available when an area of intersection does not exceed a predetermined value. A method includes analyzing an image of a parking area using a first machine learning model; analyzing the image of the parking area using second machine learning model; and classifying a parking space as available when an area of intersection does not exceed a predetermined value. A method includes generating a spot detection machine learning model; and generating, by analyzing a plurality of labeled images, an artificial neural network.