Abstract: Systems and methods for multiple inertial measurement unit sensor fusion using machine learning are provided herein. In certain embodiments, a system includes inertial sensors that produce inertial measurements, a memory unit that stores a fusion model produced by at least one machine learning algorithm, and a processor that receives inertial measurements, where the processor applies the fusion model to the inertial measurements. The fusion model directs the processor to extract features from the inertial measurements, and to select inertial measurements based on a sensor in the plurality of inertial sensors that produced the inertial measurements. Also, the fusion model directs the processor to apply weights to the selected inertial measurements based on the extracted features, to apply compensation coefficients to the selected inertial measurements, and to fuse the selected inertial measurements into an inertial navigation solution.

Abstract: Systems and methods for GNSS ambiguity resolution are described herein. In some examples, the systems and methods utilize multiple search engines in parallel to validate potential integer candidates for ambiguity resolution using adaptively adjusted residual thresholds.

Abstract: Systems and methods for GNSS ambiguity resolution are described herein. In some examples, the systems and methods utilize multiple search engines in parallel to validate potential integer candidates for ambiguity resolution using adaptively adjusted residual thresholds.

Abstract: A proximity detector, unmanned aerial vehicle (UAV), and method for outputting a displacement are provided. The proximity detector includes a velocity sensor, a displacement sensor, and integration logic. The integration login is configured to receive displacement values from the displacement sensor and integrate velocity values received from the velocity sensor. Based on the integrated velocity value and a first displacement value, the integration logic determines an estimated displacement value. A difference is determined between the estimated displacement value and a second displacement value. If the difference is less than a difference threshold, the second displacement value is output. The UAV and/or other vehicles may utilize the proximity sensor to provide data for vehicle control and operation, including maneuvering and landing the vehicle.

Abstract: The present invention relates to compositions containing different stages of pathogenic protozoans in a gel and to their use for controlling rodents.

Abstract: The present invention relates to compositions comprising sporocysts of at least one parasitic single-cell organism and at least one anticoagulant, and to their use for controlling harmful rodents.

Abstract: The present invention relates to compositions comprising sporocysts of at least one parasitic single-cell organism and at least one anticoagulant, and to their use for controlling harmful rodents.