Sensor data fusion for automated threat recognition in manned-unmanned infantry platoons

J. Wildt; M. Varela; M. Ulmke; B. Brüggermann

doi:10.1117/12.2267317

4 May 2017 Sensor data fusion for automated threat recognition in manned-unmanned infantry platoons

J. Wildt, M. Varela, M. Ulmke, B. Brüggermann

Proceedings Volume 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII; 101900U (2017) https://doi.org/10.1117/12.2267317
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

To support a dismounted infantry platoon during deployment we team it with several unmanned aerial and ground vehicles (UAV and UGV, respectively). The unmanned systems integrate seamlessly into the infantry platoon, providing automated reconnaissance during movement while keeping formation as well as conducting close range reconnaissance during halt. The sensor data each unmanned system provides is continuously analyzed in real time by specialized algorithms, detecting humans in live videos of UAV mounted infrared cameras as well as gunshot detection and bearing by acoustic sensors. All recognized threats are fused into a consistent situational picture in real time, available to platoon and squad leaders as well as higher level command and control (C2) systems. This gives friendly forces local information superiority and increased situational awareness without the need to constantly monitor the unmanned systems and sensor data.

Citation Download Citation

J. Wildt, M. Varela, M. Ulmke, and B. Brüggermann "Sensor data fusion for automated threat recognition in manned-unmanned infantry platoons", Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 101900U (4 May 2017); https://doi.org/10.1117/12.2267317

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