High Accuracy Tracking System for Infantry Training

Toyon and our teammates at UCSB propose to design a multi-sensor fusion-based augmented and virtual reality tracking system that is capable of precisely determining the position and orientation of each participant’s head and weapon relative to the local real and virtual environment without requiring GPS. The system will comprise a mobile survey station (MSS) for rapidly, precisely and efficiently conducting a pre-training site survey; a light-weight head-mounted sensor (HMS) system; a low-profile weapon-mounted sensor (WMS) system; a plurality of portable external reference sensor (ERS) systems; a distributed track processing system (DTPS); and a high-speed wireless communications system. The system will be capable of determining the orientation of each HMS and WMS to within 0.9 mrad and their positions to within 2.5 mm with a latency of 10 ms or less. During the Phase I effort Toyon will determine the system specifications; design a system architecture that will meet those specifications; and develop and evaluate a set of algorithms for distributed navigation and tracking for augmented and virtual reality systems. Moreover, the algorithms developed under this Phase I effort will be evaluated using real data obtained in a real environment. Toyon is teamed with the “Four Eyes” Lab at the University of California, Santa Barbara.