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HIERARCHICAL OPTIMAL DATA EXCHANGE FRAMEWORK AMONG NODES OF AN UNMANNED VEHICLE SYSTEM

IP.com Disclosure Number: IPCOM000244554D
Publication Date: 2015-Dec-21
Document File: 6 page(s) / 271K

Publishing Venue

The IP.com Prior Art Database

Related People

Nico Darrow: AUTHOR [+2]

Abstract

Real-time, high resolution data processing is provided for data collected by an unmanned vehicle system. This data would enable operational decisions to be made in real-time and may enable full scale control of unmanned vehicle systems during an operation based on real-time events. Moreover, real-time, high resolution data processing enables unmanned vehicles in a system to continue collecting data as operational decisions are made.

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HIERARCHICAL OPTIMAL DATA EXCHANGE FRAMEWORK AMONG NODES OF AN UNMANNED VEHICLE SYSTEM

AUTHORS:

Nico Darrow Biren Gandhi

CISCO SYSTEMS, INC.

ABSTRACT

    Real-time, high resolution data processing is provided for data collected by an unmanned vehicle system. This data would enable operational decisions to be made in real-time and may enable full scale control of unmanned vehicle systems during an operation based on real-time events. Moreover, real-time, high resolution data processing enables unmanned vehicles in a system to continue collecting data as operational decisions are made.

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Copyright 2015 Cisco Systems, Inc.


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DETAILED DESCRIPTION

    In operational scenarios, such as natural disasters or search and rescue missions, real-time processing of data is extremely important. For example, the Fukushima Daiichi nuclear power plant has sophisticated thermal and radiological sensors, but the lack of real-time processing of data collected from these sensors contributed to the disaster that stemmed from the meltdown. As a more general example, on many occasions, first responders' lives are at stake due to a lack of real time data.

     Unmanned vehicle systems, including ground, aerial, aquatic, submarine, or hybrid unmanned systems, can gather enormous amounts of data from video sensors, photo sensors, environmental sensors, and other such sensors. Currently, most unmanned vehicle systems capture and store data on the unmanned vehicle while relaying an analog, low-resolution video feed to a ground station. Real-time collection and processing of hi- resolution data from multi-sensor unmanned vehicle systems data is an ongoing problem. One current solution is for unmanned vehicles to return to a base or station and offload any gathered data to the base or station. Then, the gathered data can be further analyzed and processed for insights. Alternatively, an unmanned vehicle system must have storage and processing capabilities for large quantities of data. However, currently, even military drones are unable to perform real-time analysis and process of all the data they capture.

    Presented herein are techniques for real-time, high resolution data processing by unmanned vehicle systems. The techniques utilize a very flexible, hierarchical data collection and processing framework.

Solution Overview:

    In order to provide real-time, high resolution data processing, a small device can be incorporated into unmanned vehicles. The device has sufficient processing and communication capabilities while being able to interface with the unmanned vehicle's control system. Generally, the device adds functionality to an unmanned vehicle to provide actionable data to the immediate area of operations for local assets while being able to process the information in real-time and selectivity generate events, triggers or actions based on provided objective. The device can be incorporated into any type of

Copyright 2015 Cisco Systems, Inc.

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