A method and system for determining position and/or pose of an object. A robotic device moves throughout an environment and includes a master transceiver tag and, optionally, additional tags. The environment includes a plurality of anchor nodes that are configured to form a network. A master anchor node is in communication with at least a portion of the plurality of anchor nodes and is configured to transmit a ranging message as a UWB signal, receive a ranging message response from each other anchor node in the network, generate a reference grid representing physical locations of the plurality of anchor nodes within the network based upon the received ranging message responses, and distribute the reference grid to each of the other anchor nodes. The master transceiver tag receives the reference grid information and, based upon further calculations, determines a specific position and pose of the robotic device within the environment.

Methods and apparatus for spatial audio navigation that may, for example, be implemented by mobile multipurpose devices. A spatial audio navigation system provides navigational information in audio form to direct users to target locations. The system uses directionality of audio played through a binaural audio device to provide navigational cues to the user. A current location, target location, and map information may be input to pathfinding algorithms to determine a real world path between the user's current location and the target location. The system may then use directional audio played through a headset to guide the user on the path from the current location to the target location. The system may implement one or more of several different spatial audio navigation methods to direct a user when following a path using spatial audio-based cues.

Methods and apparatus for spatial audio navigation that may, for example, be implemented by mobile multipurpose devices. A spatial audio navigation system provides navigational information in audio form to direct users to target locations. The system uses directionality of audio played through a binaural audio device to provide navigational cues to the user. A current location, target location, and map information may be input to pathfinding algorithms to determine a real world path between the user's current location and the target location. The system may then use directional audio played through a headset to guide the user on the path from the current location to the target location. The system may implement one or more of several different spatial audio navigation methods to direct a user when following a path using spatial audio-based cues.

Systems and methods for determining an accurate location of a signal's source of transmission. The methods involve: demodulating a detected carrier signal modulated with a Pseudo Noise (“PN”) code sequence to obtain an original information-bearing signal therefrom; computing time delay offsets using correlations of PN code windows for each symbol of the original information-bearing signal; determining a high accuracy Time Of Arrival (“TOA”) of the detected carrier signal using the time delay offsets; and using the high accuracy TOA to determine an accurate location of the original information-bearing signal's source of transmission.

A computer-implemented method for controlling a vehicle comprises: receiving tracking data associated with a surrounding environment of the vehicle; detecting, based upon the tracking data, an object in the surrounding environment of the vehicle; determining a location of the object; determining, based on navigation assistance data, whether the location of the object is at least partially within a classified area in the surrounding environment; and configuring a control system of the vehicle to: initiate, based upon determining that the location of the object is not at least partially within the classified area, a first collision avoidance response procedure for responding to the object; and initiate, based upon determining that the location of the object is at least partially within the classified area, a second collision avoidance response procedure for responding to the object, the second collision avoidance response procedure different from the first collision avoidance response procedure.

A computer-implemented method for controlling a vehicle comprises: receiving tracking data associated with a surrounding environment of the vehicle; detecting, based upon the tracking data, an object in the surrounding environment of the vehicle; determining a location of the object; determining, based on navigation assistance data, whether the location of the object is at least partially within a classified area in the surrounding environment; and configuring a control system of the vehicle to: initiate, based upon determining that the location of the object is not at least partially within the classified area, a first collision avoidance response procedure for responding to the object; and initiate, based upon determining that the location of the object is at least partially within the classified area, a second collision avoidance response procedure for responding to the object, the second collision avoidance response procedure different from the first collision avoidance response procedure.

A device that includes a receiver that receives multiple positioning signals from a satellite, including a positioning signal and remaining positioning signals, and a processor communicatively coupled to the receiver. The processor determines a speed value of the device based on a Doppler shift of the positioning signal. The speed value is a magnitude of a velocity of the device in a direction. The processor also determines that the speed value is not consistent with at least one other measurement and determines the position of the device using the remaining positioning signals.

System and methods for real-time virtual visual in-route vehicle monitoring. System and methods herein provide novel means of monitoring global positioning equipped vehicles, in that tamper-proof identifiers registered on vehicle topsides are electronically imaged by aerospace imaging devices, including manned or unmanned aerospace vehicles or satellites. Transponders of in-route vehicles and aerospace imaging devices correspond, said digital images digitally relay to parabolic antennas, relay to connected networks such as the World Wide Web, are transmitted therein and interfaced in real-time via end-users utilizing computerized devices and applications for purposes of real-time virtual visual in-route vehicle monitoring. Crowdsourced end-users are supplied directives and means via a computerized application alert icon to engage said alert icon in order to alert authorities upon occurrences of specified events such as, vehicle well-being concerns, security or terrorism events.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.