Abstract: A ground speed computation system for a vehicle includes ground-oriented RADAR devices, an Inertial Measurement Unit (IMU) device, a communication device, an electronic processing device in communication with the RADAR devices, the IMU device, and the communication device, and a non-transitory memory storing (i) a machine learning (ML) ground speed calculation model and (ii) instructions that when executed by the electronic processing device result in receiving, from the RADAR devices, data descriptive of a ground surface in proximity to the vehicle, receiving, from the IMU device, data descriptive of a movement of the vehicle, computing, by the ML ground speed calculation model and utilizing (i) the data descriptive of the ground surface and (ii) the data descriptive of the movement of the vehicle, to determine an estimated ground speed of the vehicle and outputting, by the communication device, an indication of the estimated ground speed of the vehicle.

Abstract: Systems and methods for selective and/or opportunistic GNSS/GPS navigation that actively mask or filter satellite signals based on identified “clear sky” or “obstructed sky” regions.

Abstract: Systems and methods for selective and/or opportunistic GNSS/GPS navigation that actively mask or filter satellite signals based on identified “clear sky” or “obstructed sky” regions.

Abstract: Systems and methods for selective and/or opportunistic GNSS/GPS navigation that actively mask or filter satellite signals based on identified “clear sky” or “obstructed sky” regions.