An automated parking system includes an automated parking vehicle and an information terminal. The vehicle includes a parking control device and a communication device. The parking control device controls the vehicle to cause the vehicle to search for and park in a vacant parking slot by means of autonomous travel. The communication device transmits automated parking status information to the information terminal when no vacant parking slot is found. Furthermore, the communication device receives an instruction about status control of the vehicle from the information terminal. The information terminal includes a communication device. The parking control device controls the vehicle according to the instruction about the status control of the vehicle that has been received from the information terminal.

A method of providing surrounding information of a vehicle includes: detecting at least one sensor-based obstacle using sensor detection information acquired through a surroundings sensor, detecting at least one image-based obstacle using image information acquired through a plurality of cameras, detecting at least one matched obstacle from the at least one sensor-based obstacle or the at least one image-based obstacle, and correcting the position of the at least one matched obstacle using at least one of a sensor-based detection result or an image-based detection result with respect to the at least one matched obstacle.

A periphery monitoring device includes: an image obtaining unit configured to obtain a captured image captured by an image capturing unit provided in a vehicle so as to image an area including a road surface on periphery of the vehicle; and a restoration control unit configured to control, when the captured image includes a spotted area caused by a spot on an optical system of the image capturing unit, whether to execute restoration processing of outputting a restored image restored from the captured image so as to simulatively reproduce a state where the optical system of the image capturing unit does not have the spot by removing the spotted area, according to a positional relationship between a road surface area where the road surface is captured and the spotted area in the captured image.

A vehicle system includes a camera, a sensor, and processors for detecting an unoccupied parking spot while the vehicle traverses a detection path. The processors define a variable virtual boundary based on at least one object detected on a side of the detection path excluding the unoccupied parking spot and generates at least one parking maneuver based on the unoccupied parking spot and the variable virtual boundary.

A vision apparatus for a moving body is provided. The vision apparatus for a moving body includes a plurality of cameras that are arranged to be distanced from one another, and are arranged in a diagonal direction to the moving direction of the moving body, and a processor that receives images photographed at each of the plurality of cameras, and stereo-matches the plurality of received images and generates distance information for all directions of the moving body.

A method for detecting unmanned aerial vehicles (UAV) includes detecting an unknown flying object in a monitored zone of air space. An image of the detected unknown flying object is captured. The captured image is analyzed to classify the detected unknown flying object. A determination is made, based on the analyzed image, whether the detected unknown flying object comprises a UAV. In response to determining that the detected unknown flying object comprises a UAV, one or more radio signals exchanged between the UAV and a user of the UAV are suppressed until the UAV departs from the monitored zone of air space.

Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

A system comprising a computer-readable storage medium storing at least one program and a method for determining vehicle overlap with a parking space is presented. The method may include accessing a set of pixel coordinates defining a location of a vehicle within an image, and translating the set of pixel coordinates to a set of global coordinates defining a geospatial location of the vehicle. The method may further include accessing a set of known coordinates of the parking space. The method may further include determining an overlap amount by comparing the global coordinates of the vehicle with the known global coordinates of the parking space, and determining the vehicle overlaps the parking space based on the overlap amount transgressing a threshold overlap amount. The method may further include updating a data object associated with the vehicle to indicate the vehicle overlaps the parking space.

Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive an image associated with the environment of the host vehicle. The processor may analyze the image to identify a side of a parked vehicle; a first structural feature of the parked vehicle in a forward region of the side of the parked vehicle or a second structural feature of the parked vehicle in a rear region of the side of the parked vehicle; and a door feature of the parked vehicle in a vicinity of the first or the second structural features. The processor may then determine, based on a subsequent image, a change of an image characteristic of the door feature of the parked vehicle and alter a navigational path of the host vehicle based on the change of the image characteristic.

In a system and a method for extrinsic calibration of an image capture apparatus of a vehicle, the vehicle includes a vehicle body and a movable part configured to rotate around a known rotation axis relative to the vehicle body. The system includes an image capture apparatus having an image capture device mounted on the vehicle body and configured to capture at least two images of the movable part, an identification unit configured to identify at least two image features in the images, a calculation unit configured to calculate a calculated direction of the rotation axis relative to the image capture device based on the image features, and a calibration unit configured to determine extrinsic parameters of the image capture apparatus based on the calculated direction of the rotation axis relative to the image capture device and the known parameters of the rotation axis relative to the vehicle.