A vehicle system includes a processor and a memory. The memory stores instructions executable by the processor to identify an area of interest from a plurality of areas on a map, to determine that a detected sound is received in a vehicle audio sensor upon determining that a source of the sound is within the area of interest and not another area in the plurality of areas, and to operate the vehicle based at least in part on the detected sound.

Disclosed is an image processing method. The method includes the steps of receiving an image obtained from a plurality of vehicles positioned on a road, storing the received images according to acquisition information of the received images; determining a reference image and a target image based on images having the same acquisition information among the stored images, performing an image registration using a plurality of feature points extracted from each of the determined reference image and target image, performing a transparency process for each of the reference image and the target image performed with the image registration, extracting static objects from the transparency-processed image, and comparing the extracted static objects with objects on an electronic map pre-stored to updating the electronic map data, when the objects on the electronic map data pre-stored are different from the extracted static objects.

A device to determine a position of an object movable relative to a vehicle, wherein at least one vehicle-based communication unit is arranged on the outside of the vehicle, which communicates via radio waves with at least one object-based communication unit, and the at least one vehicle-based communication unit is coupled with a processing unit which is designed to determine the position of the object relative to a vehicle-centered coordinate system from the communication signals. The communication units are designed to determine distance between them by determining time-of-flight, and the processing unit is designed to determine the position of the object in the coordinate system by trilateration from at least two distance values determined based on the communication between at least three communication units. The communication units are designed to exchange vehicle-specific metadata, including acceleration, speed, or travel trajectory data, or object-specific metadata, such as location information of stationary objects.

A system for human interaction with virtual objects comprises: a touch sensitive surface, configured to detect a position of a contact made on the touch sensitive surface; a reference layer rigidly attached to the touch sensitive surface and comprising one or more patterns; a display device, configured to display a virtual object that is registered in a reference coordinate fixed with respect to the touch sensitive surface; one or more image sensors rigidly attached to the display device, configured to capture an image of at least a portion of the one or more patterns; and at least one processor, configured to determine a position and an orientation of the display device with respect to the touch sensitive surface based on the captured image, and identify an interaction with the virtual object based on the detected position of the contact made on the touch sensitive surface.

A user equipment in a vehicle (V-UE) may transmit ranging signals, for example positioning reference signals (PRS), via inter-vehicle messages. The broadcast parameters for the ranging signals, such as the timing of transmission, the bandwidth, or a combination thereof, may be adjusted based on one or more motion characteristics of the vehicle. If high speed or large acceleration, or rate of turning, is detected, the rate of transmission and/or the resource blocks included in the ranging signals may be increased. By increasing the rate of transmission and/or recourse blocks in the ranging signals, other vehicles receiving the ranging signals may update the range more often and with greater accuracy for increased safety while the transmitting vehicle is traveling at high speeds or acceleration.

Described herein are different distributed sensor network models, use cases, and details of the components of each model to achieve the goal of monitoring, detecting, tracking, and mitigating a target(s) such as a signal, an object, a phenomenon, etc. An independent sensor or a local sensor network may supply data to one or more fusion center(s) that collect(s) data and perform(s) higher logic to enhance system performance. A local sensor network allows independent sensors or other local sensor networks to merge into the local sensor network. A sensor cloud can be formed by multiple local sensor networks and independent sensors. By using different distribution models, the local sensor network can provide protection for various targets like Very Important Personnel (VIP) vehicles, lands, facilities, and cities.

A system and method for obtaining location data for a portable device relative to an object. The system and method may include an object device disposed in a fixed position relative to the object, the object device having an antenna configured to communicate wirelessly via UWB with the portable device via a communication link. The system may include a control system, such as a robot and/or a remote controller, configured to obtain one or more samples pertaining to communications between the portable device and the object device.

Disclosed are examples of systems, apparatus, methods and computer program products for locating unmanned aerial vehicles (UAVs). A region of airspace may be scanned with two scanning apparatuses. Each scanning apparatus may include one or more directional Radio Frequency (RF) antennae. The two scanning apparatuses may have different locations. Radio frequency signals emitted by a UAV can be received at each of the two scanning apparatuses. The received radio frequency signals can be processed to determine a first location of the UAV.

An unmanned aerial vehicle (UAV) for detecting, identifying, and locating a source emitting an interfering signal is described herein. The UAV can detect wireless network site interference within a given frequency spectrum band and locate the source of the interference based on one or more signals received by one or more antennas, such as directional antennas. The one or more antennas are located on or within a main body or one or more booms of the UAV. The UAV can be flown manually (e.g., by an operator) or automatically (e.g., by a processor or preset routine).

Augmented reality apparatus and methods of use are provided with persistent digital content linked to a location coordinates. More specifically, the present invention links a physical location with digital content to enable a user interface with augmented reality that combines aspects of the physical area with location specific digital content. According to the present invention, digital content remains persistent with a location even if visual aspects of the location change.