Anomalous events in a driving environment can be detected and/or validated by leveraging inherent human behavior. A notification of the anomalous event can be received from an initial connected entity in the driving environment. In response, an inquiry can be sent to connected entities spatiotemporally related to the initial connected entity as to whether any person associated with the connected entities is exhibiting an inherent human behavior. When a threshold level of responses to the inquiry are received from the connected entities indicating that an inherent human behavior has been detected, the one or more connected entities can be caused to upload driving scene data for at least a time when the inherent human behavior by the occupant of the connected vehicle was detected.

A method and system for dynamic geohash-based geofencing within a geographic area including obtaining metadata including a campaign identifier and geometric data, generating a geometry using the geometric data, mapping the geometry to a geohash grid to obtain a first geohash set having a first geohash in the geohash grid, storing the first geohash and the campaign identifier in an entry in a geohash index, obtaining a user position within the geographic area from a mobile device, generating a user geohash using the user position, matching the user geohash to the entry in the geohash index, obtaining the campaign identifier from the entry in the geohash index, and providing content corresponding to the campaign identifier to the mobile device.

In various embodiments, boundaries of geo-fences can be made mutable based on principles described herein. The term “mutable” refers to the ability of a thing (in this case, the boundary of a geo-fence) to change and adjust. In a typical embodiment, a mutable geo-fence system is configured to generate and monitor a geo-fence that encompasses a region, in order to dynamically vary the boundary of the geo-fence based on a number of boundary variables. The term “geo-fence” as used herein describes a virtual perimeter (e.g., a boundary) for a real-world geographic area. A geo-fence could be a radius around a point (e.g., a store), or a set of predefined boundaries. Boundary variables, as used herein, refers to a set of variables utilized by the mutable geo-fence system in determining a location of the boundary of the geo-fence.

A cellular network management system manages terrestrial base station communications and orbital base station communications with user equipment to provide wireless service and allocate links among terrestrial base stations and orbital base stations according to base station availability determined from state space predictions.

A tracking system can provide smart alerts based on a user's location. The tracking system can receive a location of a user's mobile device and establish a geographic boundary around the location if the mobile device remains at the location for a threshold amount of time. The tracking system can receive a new location of the mobile device outside of the geographic boundary and configure the mobile device to scan for a tracking device associated with the user for an interval of time. If the tracking system detects the tracking device within the interval, the tracking system stores information indicating that the user possesses the tracking device. Otherwise, the tracking system sends an indication to the mobile device indicating that the user has left behind the tracking device.

Disclosed are systems and methods for determining a geographical area occupied by an intersection.

An approach is disclosed for determining a non-specific device location according to an observed mobility pattern derived from non-positioning related sensors. The approach involves, for example, determining non-positioning related sensor data collected from one or more sensors of a device. The approach also involves processing the non-positioning related sensor data to determine an observed mobility pattern. The approach further involves making a determination that the observed mobility pattern corresponds to reference data associated with a non-specific location, the non-specific location being at a designated location specificity level. Based at least on the determination, the approach further involves providing an output indicating that the device is located at the non-specific location.

A device may include a memory storing instructions and processor configured to execute the instructions to select a vehicle attached to a base station; determine a speed and a vehicle type associated with the vehicle; and calculate an estimated braking distance for the vehicle based on the speed and the vehicle type. The processor may be further configured to generate a geofence for the vehicle based on the calculated estimated braking distance; use the generated geofence to identify at least one relevant Vehicle-to-Everything (V2X) message to be forwarded to the vehicle; and forward the identified at least one relevant V2X message to the vehicle via the base station.

Provided are an electronic device and method for providing content to a user. The method includes, based on text of the user, obtaining content corresponding to the text and being adaptive to the user, wherein the obtained content is adaptive to the user based on information regarding the user, which is collected based on the user's behavior on the electronic device; and providing the obtained content to the user.

A method for transferring data among communication devices. The method includes a first communication device receiving, from a second communication device, data to be transferred and a condition defining a range of data transfer. The first communication device then determines whether a third communication device satisfies the condition defining the range of data transfer. On condition that the first communication device determines that the third communication device satisfies the condition, the first communication device directly transfers the data and the condition to the third communication device.