An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to analyze data obtained from the mobile device and other devices connected to the software platform. Specifically, the software platform is operable to determine if an access key received, read, or captured by a mobile device matches an access key for an authorized account, object, device, or space for the mobile device, and to provide access to the mobile device if the access key received, read, or captured by the mobile device matches the authorized access key.

An access management system includes a mobile device with a processor and a memory and a software platform including at least a processor and a memory. The software platform is configured to analyze data obtained from the mobile device and other devices connected to the software platform. Specifically, the software platform is operable to determine if an access key received, read, or captured by a mobile device matches an access key for an authorized account, object, device, or space for the mobile device, and to provide access to the mobile device if the access key received, read, or captured by the mobile device matches the authorized access key.

A system for identifying autonomous vehicles includes at least one sensor that may be configured to provide sensor data associated with at least two vehicles. A pre-processing module may be coupled to the at least one sensor and may be configured to determine a set of data including at least car following data based on the sensor data. An autonomous vehicle (AV)/human-driven vehicle (HV) identification neural network may be coupled to the pre-processing module and configured to generate an AV/HV identifier for at least one of the at least two vehicles based on at least the car following data during a predetermined time period.

A system for identifying autonomous vehicles includes at least one sensor that may be configured to provide sensor data associated with at least two vehicles. A pre-processing module may be coupled to the at least one sensor and may be configured to determine a set of data including at least car following data based on the sensor data. An autonomous vehicle (AV)/human-driven vehicle (HV) identification neural network may be coupled to the pre-processing module and configured to generate an AV/HV identifier for at least one of the at least two vehicles based on at least the car following data during a predetermined time period.

According to certain embodiments, an electronic device comprises: a communication module configured to perform wireless communication, a location sensor, a processor, and a memory configured to store at least one instruction executable by the processor, wherein execution of the at least one instruction by the processor causes the processor to perform a plurality of operations comprising: receiving, from a tracking target device, a tracking request signal, the tracking request signal comprising identification information of a tracking target device via the communication module, obtaining location information of the electronic device via the location sensor, and transmitting, to a location tracking server, the identification information of the tracking target device and only one of latitude information and longitude information comprised in the location information via the communication module.

According to certain embodiments, an electronic device comprises: a communication module configured to perform wireless communication, a location sensor, a processor, and a memory configured to store at least one instruction executable by the processor, wherein execution of the at least one instruction by the processor causes the processor to perform a plurality of operations comprising: receiving, from a tracking target device, a tracking request signal, the tracking request signal comprising identification information of a tracking target device via the communication module, obtaining location information of the electronic device via the location sensor, and transmitting, to a location tracking server, the identification information of the tracking target device and only one of latitude information and longitude information comprised in the location information via the communication module.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

A terrestrial acoustic sensor array for detecting and preventing airspace collision with an unmanned aerial vehicle (UAV) includes a plurality of ground-based acoustic sensor installations, each of the acoustic sensor installations including a sub-array of microphones. The terrestrial acoustic sensor array may further include a processor for detecting an aircraft based on sensor data collected from the microphones of at least one of the plurality of acoustic sensor installations and a network link for transmitting a signal based on the detection of the aircraft to a control system of the UAV.

A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.

A system for accurately positioning augmented reality (AR) content within a coordinate system such as the World Geodetic System (WGS) may include AR content tethered to trackable physical features. As the system is used by mobile computing devices, each mobile device may calculate and compare relative positioning data between the trackable features. The system may connect and group the trackable features hierarchically, as measurements are obtained. As additional measurements are made of the trackable features in a group, the relative position data may be improved, e.g., using statistical methods.