3D ground/air sensor common operating picture

Damon M. Conover; John F. Dammann Jr.

doi:10.1117/12.2307013

4 May 2018 3D ground/air sensor common operating picture

Proceedings Volume 10635, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX; 1063504 (2018) https://doi.org/10.1117/12.2307013
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The ability to visualize sensor data, from either ground or airborne sensors, with respect to the associated 3-D terrain is powerful. Fusion3D is a software application for stereoscopic visualization of 3-D terrain data that was developed in the Image Processing Branch at the U.S. Army Research Laboratory. It uses a 3-D display, 3-D glasses, and a 3-D mouse to quickly view province-sized 3-D maps in stereo. It is capable of ingesting large 3-D datasets from a variety of sources and includes many useful features to aid a user in the exploitation of 3-D terrain data, such as features for providing route planning, mensuration, and line-of-sight analysis. Additionally, in a recent attempt to further improve situational awareness, Fusion3D was modified to support overlaid real-time data, from both ground and airborne sensors, onto a 3-D terrain map. We are calling the result a 3-D Sensor Common Operating Picture (3-D Sensor COP). Discovery of sensor location and data across coalition assets allows for greater diversity of sensor use and improved data and sensor interoperability. In this presentation, we will show ground and airborne data, collected at a recent exercise, overlaid on a 3-D terrain map of an urban environment. Using this data collection, we will describe how an analyst would use the sensor and terrain data to improve their understanding of the environment.

Conference Presentation

Citation Download Citation

Damon M. Conover and John F. Dammann Jr. "3D ground/air sensor common operating picture", Proc. SPIE 10635, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, 1063504 (4 May 2018); https://doi.org/10.1117/12.2307013

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