High Accuracy, Non-GPS Pose Estimation and Real-Time Depth Sensing

As the threat landscape continues to evolve, modern forces and especially foot mounted soldiers are increasingly tasked with conducting operations in either complex urban or remote cavernous environments where GPS signals are severely corrupted and/or unusable. The ability to track and navigate in unfamiliar subsurface environments such as canyons, subterranean caves, mines or other manmade subsurface structures is imperative to the success of modern warfare operations. The objective of this work is to apply and extend TRX’s inference based positioning and mapping system to navigation in rugged natural environments. An open navigation core architecture will be designed to facilitate integration of other sensors or algorithms.