An image processing method and an image processing device detect an object from a driving image of a vehicle, obtain information on an altitude difference between the vehicle and the object, and input image domain coordinates of the object in the driving image and the information on the altitude difference to a neural network and determine world domain coordinates of the object.

Aspects of the present invention relate to providing see-through computer display optics.

A system and method are provided for updating imagery associated with map data. A request for map data is received, and a first image of a geographical location corresponding to the map data is provided in response to the request. Information relating to a status of an object in the first image is received, and it is determined whether the first image is to be updated based at least on the received information. If it is determined that the first image is to be updated, an updated image is received and used to update the first image.

A system and computer-implemented method include a wireless network hub configured to forward received sensor readings to a sensor analysis system. One or more sensor units coupled to the wireless network hub and affixed to a structure are configured to wirelessly transmit data to the wireless network hub at a first time frequency, and, in response to a detected danger to the structure, wirelessly transmit sensor readings to the wireless network hub at a second time frequency greater than the first time frequency.

It is determined whether a traffic light is recognized in an image based on each of a result of a recognition operation by a traffic light first recognition unit (a recognition operation of the traffic light for an image acquired by a camera using a learned model based on pre-annotated data) and a result of a recognition operation by a traffic light second recognition unit (a recognition operation of the traffic light for an image acquired by the camera based on a feature amount of the traffic light). This makes it possible to sufficiently obtain the recognition accuracy of the traffic light, and to appropriately perform an instruction to a pedestrian according to the state of the traffic light.

Aspects of the present invention relate to providing see-through computer display optics.

A damage assessment (DA) computing device for determining building damage may be provided. The DA computing device may train a machine learning damage model using historical damage data, identify a plurality of buildings that are susceptible to potential damage from an upcoming weather event, the plurality of buildings including the building, input data associated with a roof of the building to the trained damage model, receive a model output from the trained damage model, the model output including a damage status of the roof representing the predicted extent of damage to the roof, when the predicted extent of damage to the roof exceeds a threshold, automatically generate a claim initiation message including a link that, upon selection thereof, causes initiation an insurance claim for the roof based upon the model output and the parameters associated with the building, and/or transmit the claim initiation message to a user.

A method, apparatus and computer program product train a signature encoding module and a query processing module. In a method, at least one of the signature encoding module and the query processing module is trained by providing the signature encoding module with a reference image containing a particular object of interest that is marked therewithin. The method generates a digital signature of the object of interest and at least some context associated therewith and provides the query processing module with a query image and the digital signature representing the object of interest and at least some of the context associated therewith. The method additionally identifies the object of interest within the query image based upon the digital signature and modifies at least one of the signature encoding module or the query processing module based upon a qualitative or quantitative difference between the objects of interest identified within the query image and marked in the reference image.

Aspects of the present invention relate to providing see-through computer display optics.

A captured image is analyzed and it is determined whether a land is used for the same use as a registered use. A land use determination system for determining whether a land is used for a same use as a registered use includes an image acquiring unit that acquires an image obtained by image-capturing a land, an address specifying unit that analyzes the image to specify an address of the land, a use specifying unit that analyzes the image to specify a use for which the land is used, and a determining unit that determines whether a registered use of the land based on the address matches the use of the land specified by the analysis.