An AVP system comprises a parking facility and a management center. The parking facility comprises a boarding space for a passenger to get in or out of a vehicle, a path for the vehicle to travel, and a parking space for the vehicle to park. The management center manages an AVP of the vehicle in the parking facility. The management center is configured to execute traveling route calculation processing to calculate a traveling route of the vehicle in the parking facility. In the traveling route calculation processing, the traveling route including location data of nodes from a boarding space to a scheduled parking space and that of nodes to perform a swing or a turning of wheels is calculated. The location data of the nodes to perform the turning of the wheels includes that of the nodes in a vacant parking space that differs from the scheduled parking space.

Provided are a diagonal parking space detection method and device, and an automatic parking method and system. The diagonal parking space detection method includes: operation S11, determining a target diagonal parking space in multiple diagonal parking spaces arranged along a reference line, wherein the target diagonal parking space is located between a first reference parking space and a second reference parking space; operation S12, detecting a first reference point identifying an intersection point between the first reference parking space and the reference line; operation S13, calculating a slope of the target diagonal parking space; operation S14, detecting a second reference point identifying an intersection point between the second reference parking spacer and the reference line; and operation S15, calculating a width of the target diagonal parking space.

A computer includes a processor and a memory, the memory storing instructions executable by the processor to input an image to a first layer of a machine learning program, the first layer trained to identify one or more quadrilateral regions in the image, upon identifying the one or more quadrilateral regions, input the collected image to a second layer of a machine learning program, the second layer trained to identify a plurality of sets of vertices, each set of vertices defining a respective polygonal area, identify one of the polygonal areas in which to park a vehicle, and actuate one or more vehicle components to move the vehicle into the identified polygonal area.

Image data is obtained about an area that includes a plurality of sub-areas. One of the sub-areas is selected as a destination sub-area based on the destination sub-area being unoccupied. Then, upon detecting a candidate marker for the destination sub-area, the image data including the candidate marker is provided to a remote computer. A vehicle is operated to a stop in the destination sub-area. Then, upon receiving a message from the remote computer specifying an availability of the destination sub-area based at least on the image data, the vehicle is maintained in the destination sub-area or the vehicle is operated out of the destination sub-area.

A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

Disclosed herein are methods of determining a layout for a parking area. In an aspect, a method includes determining environmental information about a surrounding environment of a vehicle moving in a parking area from sensing data provided by a sensing system of the vehicle; extracting parameters associated with parking slots identified from the environmental information; determining layout models for the parking area based at least on the extracted parameters, each layout model including an underlaying parking slot template; assigning to each of the determined layout models a confidence score; and selecting the layout model of the parking area having the highest confidence score as a current layout model used to determine the layout, the selected layout model is updated over time based on the confidence scores assigned to the layout models generated from sensing data collected while the vehicle is moving.

Methods, systems, and apparatus for a detection system for a vehicle. The detection system includes at least one of a camera or a sensor. The camera is configured to capture image data of a surrounding environment. The sensor is configured to detect sensor data. The detection system includes an electronic control unit. The electronic control unit is coupled to the camera and is configured to determine that there is an available parking spot or a person is positioned on a side of a road based on the image data or the sensor data. The electronic control unit is configured to provide a location of the available parking spot or the person to another device or to the vehicle.

Disclosed is a method and system that receives sensor information from each of a plurality of sensors. Each sensor in the plurality is associated with a vehicle. The sensor information includes location coordinates of each vehicle in the plurality. The sensor information associated with each vehicle in the plurality then is translated to parking statistics information. In one embodiment, the translation is based on an aggregate of sensor information corresponding to the plurality of vehicles. The system then communicates parking statistics information to the vehicle.

Disclosed is a method and system that receives sensor information from each of a plurality of sensors. Each sensor in the plurality is associated with a vehicle. The sensor information includes location coordinates of each vehicle in the plurality. The sensor information associated with each vehicle in the plurality then is translated to parking statistics information. In one embodiment, the translation is based on an aggregate of sensor information corresponding to the plurality of vehicles. The system then communicates parking statistics information to the vehicle.

A processing system including at least one processor may obtain a parking request for a vehicle to park at a parking facility and may offer a plurality of parking spots of the parking facility for the vehicle, where at least one of the plurality of parking spots that is offered is a parking spot that is predicted to be available, and where the offering includes presenting information regarding predicted adjacent parking spot occupancy of the at least one of the plurality of parking spots for a duration of an intended stay of the vehicle at the parking facility. The processing system may then obtain a selection of a parking spot from among the plurality of parking spots and reserve the parking spot for the vehicle.