Low-shot object tracking and targeting algorithms for next-generation combat vehicles
Physical Sciences Inc (PSI) has been awarded a contract by the US Army to develop the Low-Shot Object Tracking and Targeting (LOTT) system that integrates state-of-the-art machine-learning object detection and tracking capabilities with IR and visible imaging sensors utilizing “low-shot” training techniques.
PSI’s LOTT algorithms will enable the detection, characterization, and tracking of an easily-updated target set of objects in the complete 360 degree environment around modern, instrumented combat vehicles. These algorithms will be optimized for and demonstrated on embedded processing platforms. The LOTT algorithms will fuse all available, stationary and slewable, single-channel and multi-spectral, IR and visible EO imaging systems into a complete situational awareness view. This capability will leverage an existing, PSI-developed object detection and tracking framework for visible EO cameras that executes on low SWaP embedded platforms, but expands this framework to operate in the IR. The system will assist Soldiers in detecting and prioritizing threats, and provide reliable tracking output to enable slewable sensors to maintain targeting on selected objects. PSI’s development will maximize the effectiveness of deployed and planned sensor systems while minimizing associated operator burden. LOTT technology will also provide contextual video analysis for sensor fusion in our radiation detection products, the commercially-available MURS and OWL systems.
For more information, contact:
Dr. Bogdan Cosofret
Vice President, Detection Systems
Distribution Statement A: Approved for Public Release, distribution unlimited
This material is based upon work supported by the Night Vision and Electronic Sensors Directorate under Contract No. W909MY21C0010
Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Night Vision and Electronic Sensors Directorate.