A system for usage guidance using wireless communication includes a portable computing device, wherein the portable computing device is designed and configured to receive a signal from a first transmitter, parse the signal for at least a textual element, identify, in a first data structure, a first location and a second location of the signal, retrieve, from a second data structure, a usage data, and generate identifier-specific usage guidance as a function of the first location and the second location of the signal and the usage data. The system includes a user output component coupled to the portable computing device, wherein the user output component is configured to provide the identifier-specific usage guidance to a user.

The present disclosure provides a method and an apparatus for creating an occupancy grid map, as well as a processing apparatus. The method includes: creating a current occupancy grid map based on a location of the vehicle and a previous occupancy grid map; and determining a current probability that each grid in the current occupancy grid map belongs to each of occupancy categories based on last environment perception information received from the sensors and updating an occupancy category to which each grid in the current occupancy grid map belongs based on the current probability that the grid belongs to each of the occupancy categories, in accordance with an asynchronous updating policy.

A method for collaboration of a plurality of nodes includes determining at each node SLAM data for the node, the SLAM data including estimated position of features and/or targets observed and processed by the node using SLAM algorithms and covariance associated with the estimated positions, communicating at each node the node's SLAM data to the other nodes via each nodes' datalink communication system, receiving at each node SLAM data communicated from the other nodes via each node's datalink communication system, combining at each node the node's SLAM data and the SLAM data received from the other nodes based on features or targets included in SLAM data from the other nodes, refining at each node estimated positions of features and/or targets based on results of the combining, and navigating each node to a target at the target destination as a function of at least one of the refined estimated positions.

An example method includes gathering, via a first module of a first type, first simultaneous localization and mapping data and gathering, via a second module of a second type, second simultaneous localization and mapping data. The method includes generating, via a simultaneous localization and mapping module, a first map based on the first simultaneous localization and mapping data and the second simultaneous localization and mapping data, the first map being of a first map type and generating, via the simultaneous localization and mapping module, a second map based on the first simultaneous localization and mapping data and the second simultaneous localization and mapping data, the second map being of a second map type. The map of the first type is used by vehicles with module(s) of the first and/or second types and the map of the second type is used by vehicles with a module of the second type exclusively.

In various aspects, a first set of attributes associated with a target location are determined. The target location is a location that one or more items are to be delivered to by an unmanned aerial vehicle (UAV). The first set of attributes are compared with a second set of attributes. The second set of attributes indicate attributes of each UAV of a plurality of UAVs. Based on the comparing, a UAV, of the plurality of UAVs, is recommended to deliver the one or more items to the target location.

Aspects of the subject disclosure may include, for example, receiving, over a network from a plurality of mobile devices via a plurality of installed SDKs, sensor data captured by one or more sensors of the plurality of mobile devices, where the sensor data includes geomagnetic data captured within a particular building; providing, over the network, the sensor data to a geomagnetic mapping server to enable generation of a geomagnetic footprint for the particular building that is aggregated with indoor mapping data for the particular building and stored as a map in a mapping repository; and providing, over the network, the map of the particular building to a communication device for presentation at the communication device along with real-time locations of first responders in the particular building, where the real-time locations are determined according to real-time sensor data including real-time geomagnetic data captured by sensors of the first responders. Other embodiments are disclosed.

Determining when an estimated altitude of a mobile device can be used for calibration or location determination. Particular systems and methods determine an area in which the mobile device is expected to reside, determine an altitude value of each section of a plurality of sections in the area, determine if the altitude values meet a threshold condition, and determine that the estimated altitude of the mobile device can be used for determining the position of the mobile device or for calibrating a pressure sensor of the mobile device when the altitude values meet the threshold condition.

A system and method for inspection maintenance and/or diagnosis of a variety of workpieces is provided. The system serves workers working on a workpiece, inspectors who are distal from the workers and/or can be used for remote training or for advanced diagnosis and/or repair. The system preferably includes a template of a set of one or more predefined required images of a workpiece required by an inspector to perform their inspection or diagnosis. The set of predefined required images is provided to the worker. The worker captures the images with an appropriate workpiece data capture device and provides them to the inspector for review. The inspector examines the provided images and either approves the workpiece based on their content, requests additional images for further examination and/or provides annotations and other information to the worker to address identified issues. The system maintains a database of all images and information.

Systems, devices, media and methods are presented for retrieving a current location of client device, accessing geographic data based on the current location of the client device, analyzing the geographic data to identify a plurality of geographic features, for each geographic feature of the plurality of geographic features, identifying a direction from the current location of the client device to the respective geographic feature and a confidence level indicating a probability that the current location of the client device is at the direction, returning the direction and the confidence level to the client device, and based on the direction and confidence level, causing presentation of graphical data on a user interface within the client device.

A system and method for high-confidence error overbounding of multiple optical pose solutions receives a set of candidate correspondences between 2D image features captured by an aircraft camera and 3D constellation features including at least one ambiguous correspondence. A candidate estimate of the optical pose of the camera is determined for each of a set of candidate correspondence maps (CMAP), each CMAP resolving the ambiguities differently. Each candidate pose estimate is evaluated for viability and any non-viable estimates eliminated. An individual error bound is determined for each viable candidate pose estimate and CMAP, and based on the set of individual error bounds a multiple-pose containment error bound is determined, bounding with high confidence the set of candidate CMAPs and multiple pose estimates where at least one is correct. The containment error bound may be evaluated for accuracy as required for flight operations performed by aircraft-based instruments and systems.