OFFICIAL Defence and Security Accelerator Defence and Security Accelerator Defence and Security Accelerator Innovation fund themed competition Revolutionise the human information relationship for Defence
OFFICIAL
Defence and Security Accelerator
Defence and Security AcceleratorDefence and Security Accelerator
Innovation fund themed competitionRevolutionise the human information relationship for Defence
OFFICIAL
• Introductions• Joint Force Warfare context• Challenge 1• Challenge 2• Challenge 3• Joint Forces Warfare summary• The Accelerator challenge• Signposting
Agenda
OFFICIAL
Defence and Security Accelerator
Defence and Security AcceleratorDefence and Security Accelerator
Working with the AcceleratorJim Pennycook, Innovation Partner
Joint Warfare DirectorateJoint Warfare Directorate
Defence and Security Accelerator competition
The Joint Context
Lt Col Shaun Lamb MBE
Joint Warfare Directorate
The challenge The distinction between war and peace and ‘home’ and ‘away’ are
increasingly blurred A whole of government ‘cooperative approach’ to protect the UK and
her interests
Joint Warfare Directorate
The environment Explosion of - data, processing power and connectivity Rapid development of – range, precision, lethality, choice of
effects, stealth…… Proliferation of – unmanned systems, autonomous systems
and robotics Exploitation of – military and commercial space
Joint Warfare DirectorateJoint Warfare Directorate
JFC Strategy – the guiding purpose
Joint Warfare DirectorateJoint Warfare Directorate
The Challenge
Joint Warfare DirectorateJoint Warfare Directorate
Our conceptual thinking
Joint Warfare DirectorateJoint Warfare Directorate
• not just technology• the competition team• road to exploitation
The difference
Joint Warfare Directorate
Defence and Security Accelerator
Defence and Security AcceleratorDefence and Security Accelerator
Challenge 1 - Military contextLt Col Shaun Lamb MBE
Royal Navy Information Warfare Division OFFICIAL
Challenge 1: Allow for the rapid and automated integration
of new sensors
Continuous Carrier
Capability(CCC)
Continuous Amphibious Readiness
(CAR)
Continuous at Sea
Deterrent(CASD)
The Royal Navy today
Royal Navy Information Warfare Division OFFICIAL
MTTA
• open architecture and standards• shared computing • shared networking • enabling fused ISR, sensors, information• enabling AI (Project NELSON)
Royal Navy Information Warfare Division OFFICIAL
• a socio-technical response - it’s not just the kit• a service-based approach• an extraordinary pace of change - buy, use,
discard/upgrade• innovation is not just a mindset - it needs resourcing,
organising for (actual people), policy (accreditation, procurement) and tolerance (fast to fail)
• once empowered, our people need to be left alone
The RN approach to innovation
Royal Navy Information Warfare Division OFFICIAL
Royal Navy Information Warfare Division OFFICIAL
Open sensors and systems - next?• a truly open environment for all platforms• plug and play everything - radar, sonar, video,…• even if different formats• any drone, any radar, any camera, any sensor…• buy, use, discard/upgrade• MarWorks, CDIF, NELSON, 700X
• generic command & control systems?• auto-scanning techniques?• unmanned systems collision avoidance?• autonomous decision making?• networks in GPS-denied environments?• sensing across the littoral (ship-shore)?• mesh networking and swarming?
P r o j e c t N E L S O N
Defence and Security Accelerator
Defence and Security AcceleratorDefence and Security Accelerator
Challenge 1 – technical detail Paul Thomas
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The military sense-making process
1,2,3
1,2,3
2,3
1,2,3
2,3
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Available sensors are quickly adopted for employment in military situations • rapidly integrated into military collection systems without prior
knowledge of format standards• their outputs processed and fused automatically
The aspiration
Sensing is everywhere
• each sensor provides data in its own format, standards, update rate• on-sensor processing is mostly proprietary and uncharacterised
(hidden to user)• any sophisticated multi-sensor processing (for example fusion or
sensor management) requires deep, prior knowledge of the sensor and processing
The problem
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Sensing chain
analogue electronics signal pre-processing/ metadata
ADC
sensor analogue/digital converter
human interpretable data
content assessment
computer readable
data
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Integration of ‘raw data’ sensorsLarge variety of data rates, pre-processing algorithms, compression schemes, data formats or standards
To integrate a variety of sensors (including those we haven’t seen before), we could –
• develop a common pre-processing /metadata function
• develop a common post-processing function
Common input/output data format
orProcessing, fusion and sensor management architecture
Open architecture
algorithm repository
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Integration of ‘intelligent’ information sources
SAPIENT concept (Sensing for Asset Protection with Integrated Electronic Network Technology) www.gov.uk/sapient
Autonomous Sensor Modules (ASM)
ASM 3
ASM 1 Low bandwidth
*IP* based comms channel
Fusion and sensor management architecture
High-Level Decision Making Module (HLDMM)
Dynamic multi-sensor decision fusion algorithms
Dynamic sensor management algorithms
Human/machineinterface
Open architecture
algorithm repository
Autonomous Sensor Module
Key challenges• learning sensor system and algorithm performance parameters • updating the system’s ontology on the fly
Processing, fusion and sensor management architecture
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Processing
Search Mission
Track
Challenges • characteristics of the sensor system are not known prior to the operation• some situations require dynamic re-optimisation and tasking as new
sensors are added
Anomaly detect
Open architecture
algorithm repository
Alg 1 Alg 2 Alg 3 Alg 4
Processing pipeline
Data Human/machineinterface
Autonomous algorithm selection
Topographic_map_example - Public Domain wikimedia_curid=641544
Topographic-Relief-perspective-sample - By Kbh3rd, CC BY-SA 3.0, wikimedia_curid=12915572
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Fusion and sensor management
Challenges• data sources that are
not fully characterised: uncertainty bias provenance and
trust• management functions
where the task implementation is not fully characterised
Mission assessment
Situation assessment
Object assessment
Data processing
Signal processing
Environment
Application
Data source
Mission management
Objective management
Task management
Data management
Sensor management
Strategy
Understanding
Knowledge
Data
Signals
Resource management
What we want - summary
Accessibility that can• overcome the problems limiting seamless access and exploitation of new sensors• address issues throughout sensor-data-exploitation chain• support key issue of scalability• ensure real (or near-real) time performance• offer solutions that show strong linkages to challenges 2 and 3
Not interested in• non-cooperative access to collection assets
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