potential for using unmanned aerial vehicles (uav) in an on-site

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Potential for Using Unmanned Aerial Vehicles (UAV) in an On-Site Inspection Dr James Palmer AWE plc, UK CTBTO Science and Technology Conference 2015 T3.2-06

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Page 1: Potential for Using Unmanned Aerial Vehicles (UAV) in an On-Site

Potential for Using Unmanned Aerial Vehicles (UAV) in an On-Site Inspection

Dr James Palmer AWE plc, UK

CTBTO Science and Technology Conference 2015

T3.2-06

Page 2: Potential for Using Unmanned Aerial Vehicles (UAV) in an On-Site

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§  Different definitions… §  Can be remote controlled or autonomous. §  They are only a platform for sensors. §  The really important question to address is,

What information do you want to gather?

What is an Unmanned Aerial Vehicle?

Imagery Context information Data product e.g. vegetation locations

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Types of UAVs

§  Small or large. §  Light or heavy. §  Wide range of sensors that

can be carried. §  Important factors;

§  payload, §  range, §  number of sensors carried, §  endurance, §  cost, §  size of launch area, §  complexity, §  capital and operation costs.

Fixed wing, rotary wing, multi-rotor, light than air.

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Not considering large UAVs in this talk. Too expensive to buy, run, maintain, train Inspectors…

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What is useful information for an OSI? §  Situation awareness. §  Site survey. §  Data on what is normal for the landscape. §  Imagery of ROIs. §  3D terrain models of ROIs. §  Imagery in multiple wavelengths. §  Thermal imagery. §  Processed data products. §  Information that is easy for the Inspection Team to understand and

absorb. §  Data that could contain observables/signatures.

§  How can data from UAVs provide this useful information?

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Small UAV to survey an area of interest. Question to answer:

§  What can be seen in this new area of interest?

Task: §  Survey the site and create a 3D model of

this new area. Sensors:

§  Point-of-View video camera, visible light still camera.

Method: §  Flight pattern planned and created at the

BoO. §  Refined at Polygon if needed. §  Deploy UAV and survey the area with

UAV. §  Download data. §  Process data. §  Deliver data products to Inspection Team.

Case study

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What is the state of the possible? §  Flight time long enough to survey a ROI. §  Sensors for many OSI techniques are now available for

UAVs. §  Panchromatic and spectral imaging cameras, thermal imaging

cameras, lidar, gamma spectrometers, … §  Some UAV systems do not need UAV experts to operate

them. §  Many can be transported easily by car/van/backpack. §  Live video streaming of what the UAV sees can be viewed

by people on the ground. §  Encryption of data collected. §  Authentification of UAV and sensors by state parties is

possible.

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Conclusions §  There is huge potential for UAVs to be used during an OSI. §  UAVs are being used by various industries to collect information

relevant to OSIs, e.g site surveying.

§  UAV development is accelerating and their capabilities are improving. §  There is a wealth of options for how to use them during an OSI and

which type to use. §  Many OSI technologies can now be deployed via UAV.

§  MSIR, magnetometry, position finding, video, photography, ground penetrating radar.

§  Before using them you must answer the question, “How will the data a UAV collects be used to progress the OSI?”

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How could UAVs be used in an OSI? Must address some questions first. §  What questions do you want the UAV

data to answer? §  How to use the data to assist the OSI?

(processing and analysis) §  What type of data should be collected? §  What missions should the UAVs fly? §  What do you want the UAV to do? §  What type of UAV to use? §  How might local aviation rules apply?

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An OSI UAV concept §  Multi-rotor §  Live streaming of flight camera can be sent to many headsets. §  Modular sensors can be swapped as required. §  On-board storage. §  Altitude monitoring. §  Sight camera linked to motion headset used to view items of

interested. §  Ground control station.

§  Pilot controls. §  Cameraman controls. §  Status monitoring. §  Progress relative to flight plan display. §  Storage of live streaming images. §  Radio links to UAV.

§  Spare batteries and other spares.

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Large UAVs §  Too expensive to buy, maintain, deploy, train and

retain operators. §  Leave it to NTM.

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Medium sized UAVs Pros §  Long endurance. §  Whole IA could be surveyed. §  Can carry heavy payload. §  Can carry multiple sensors. §  More resilient to weather

conditions.

Cons §  Requires runway or launcher. §  Larger size creates transport

issues. §  Higher maintenance

requirements and costs. §  Larger regulation burden. §  At risk from local action. §  Greater technical expertise

needed to operate. §  Higher capital costs. §  Creates a fuel handling issue. §  More complex flight planning. §  Longer set up time pre-flight.

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Small UAVs Pros §  Can be deployed within a ROI. §  Can cover a small area quickly. §  Short set up time. §  Possible to swap sensors as

required. §  Live video can be streamed to

the ground. §  Electrically powered. §  Rapid data review. §  Easier to transport.

Cons §  Limited flight duration. §  Vulnerable to weather

conditions. §  Limited payload capacity. §  Limited physical space for

electronic storage.

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Data analysis. §  How data is analysed is determined by what question/

tasks we want the data to answer. e.g. §  “Find OSI relevant features.” Is too vague to be . §  In contrast the question, §  “Can high resolution visible light images of an area of

interest approximately 1000 km2 be captured during a field mission?”, can be answered. And the answer is yes.

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Medium UAV to fly whole IA. §  Fixed wing aircraft. §  Requires runway or launcher. grass or hard standing §  Liquid fuel (petrol, Avgas, etc) §  Long range. §  Automated flight. §  Extensive range of sensors available (vis-LWIR imaging, Vis-LWIR

spectral imaging). §  Some live streaming, some on-board data storage. §  Options of viewing directions (nadir, off-nadir). §  High capital cost. §  Expensive to run and maintain. §  Local country flight rules to be considered.