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, apparatus, and method for communicating Bluetooth keys is described. The system and method utilize a gateway apparatus that is communicates coupled to a cloud component over a first network channel, and communicates a gateway key over a local wireless Bluetooth channel. The gateway includes a processor, a memory, a fixed location, and a local broadcast range associated with an area surrounding the fixed location. The cloud component registers the gateway and a mobile wireless device having a processor and memory. When the mobile wireless device is within the local broadcast range of the gateway, the mobile wireless receives the gateway key over the local wireless channel. Upon receiving the gateway key, the mobile wireless device communicates a device key over the local wireless channel to the gateway. The gateway then communicates the received device key along the first network channel to the cloud component, and the mobile wireless device communicates the received gateway key over a second network channel to the cloud component. The cloud component then records the received gateway key with an associated receipt time and the received device key with an associated receipt time in a database.

Disclosed are a vehicle navigation positioning method, apparatus, base station and system and a readable storage medium. The vehicle navigation positioning method includes: receiving a navigation positioning service request and generating driving planned route information (S301); collecting navigation positioning parameters, and calculating according to the navigation positioning parameters to acquire a positioning error value accumulated during unmanned vehicle driving (S302); inquiring about a closest navigation correcting base station according to the driving planned route information when the positioning error value accumulated during unmanned vehicle driving reaches a positioning error threshold (S303); and establishing communication connection with the navigation correcting base station, acquiring navigation correcting parameters through the navigation correcting base station and modifying the navigation positioning parameters according to the navigation correcting parameters (S304). By calculating the accumulated error value in the navigation positioning process and modifying the navigation positioning parameters through the navigation correcting base station, an unmanned vehicle can constantly correct errors in the driving process, and when entering a working area, has a positioning precision level required by operation so as to be applicable to application scenarios with accurate positioning requirements.

A server includes a network interface to interface with mobile computing devices operating within a geographical area, with at least one of the mobile computing devices providing a request for navigation instructions between two geo-locations based on prompting the user to select an optimized connectivity route prompt. A processor is coupled to the network interface and is configured to generate a network connectivity map based on varying cellular network connectivity metrics for the geographical area, and generate, based on the user-selected optimized connectivity route prompt, the navigation instructions between the two geo-locations to be provided to the at least one mobile communications device via said network interface. The navigation instructions are generated based on the network connectivity map to provide a single route that is optimized to include areas with strong cellular network connectivity metric values.

Method for locating a vehicle, such as a crawler vehicle and in particular a snow grooming vehicle, within a working region, the working region comprising at least one reference element. The method comprising: acquiring a reference model of the working region comprising reference data relating to the at least one reference element; detecting, via at least one sensor of the vehicle, data relating to an area of the working region surrounding the vehicle; comparing the data detected by the at least one sensor with the reference data to verify whether at least a part of the data detected by the at least one sensor corresponds to the reference data; and determining a position of the vehicle within the working region on the basis of the comparison between the data detected by the at least one sensor and the reference data.

Provided is a robot including: a chassis; wheels; electric motors; a network card; sensors; a processor; and a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: capturing, with at least one exteroceptive sensor, a first image and a second image; determining, with the processor, an overlapping area of the first image and the second image by comparing the raw pixel intensity values of the first image to the raw pixel intensity values of the second image; combining, with the processor, the first image and the second image at the overlapping area to generate a digital spatial representation of the environment; and estimating, with the processor using a statistical ensemble of simulated positions of the robot, a corrected position of the robot to replace a last known position of the robot within the digital spatial representation of the environment.

A method for generating an image of a route network that is travelled through by a rail vehicle. The image is generated with the use of activities that are recorded by the rail vehicle as it travels through the route network and sorted in an activity sequence. In order to provide an improved method, patterns in the activity sequence are identified with use of a pattern detection method and the image of the route network is generated with the use of the identified patterns.

A system and method include generating environment data from skylight sensor data. The environment data includes a value of a geospatially dependent parameter associated with light received from a predetermined celestial light source. At least two of a compass direction of the predetermined celestial light source when the skylight sensor data was received, a time at which the skylight sensor data was received, or a geospatial coordinate at which the skylight sensor data was collected are received. At least one of the compass direction of the predetermined celestial light source when the skylight sensor data was received, the time at which the skylight sensor data was received, or the geospatial coordinate at which the skylight sensor data was collected is determined, at least in part, from the environment data.

An assistive navigational system for deployment in a facility having a global frame of reference includes: a server including a memory storing: a plurality of anchor definitions each containing (i) an anchor position in the global frame of reference, and (ii) a feature set corresponding to physical characteristics of the facility at the anchor position; and a task definition containing (i) a task position defined relative to the anchor position, and (ii) task overlay data; the server further including a communications interface, and a processor configured to: select one of the anchor definitions for association with the task definition; and transmit the selected anchor definition and the task definition to a mobile computing device, the mobile computing device configured to receive the selected anchor definition and the task definition; the mobile computing device further configured to present the task overlay data on a display.

A system and method for estimating a location of a vehicle, including, using a processor: measuring, via an inertial sensor attached to a vehicle, at least one of an acceleration or angular velocity of the vehicle; determining, via the processor, in the at least one of the acceleration or the angular velocity a signal signature based on a pattern recognition algorithm, wherein the signal signature is associated with a particular mark located at a particular location; determining, via the processor, that the vehicle is located at the particular location based on the predetermined association between the particular mark and the particular location; and providing, via the processor, the particular location to a human user or to a computerized application.