Presentation from Plextek at the Centre for Defence Enterprise Marketplace held on 5 February 2015. For more info see: https://www.gov.uk/government/news/mod-brings-businesses-together-for-innovative-defence-ideas

1. 5th February 2015
Dr Paul Martin

2. World class Products, Systems and Services
• Innovative, Independent, Entrepreneurial
• Based near Cambridge, UK
• Privately owned - established 1989
• 120 staff
Defence & Security
- Innovative solutions for cost effective operational capabilities
Healthcare & Medical
- Medical systems and devices to provide wider access to healthcare in
the home
Automotive & Transport
- “the connected car” – seamless integration of information inside and
outside the vehicle

3. Featured CDEs
1. Network Enhanced GPS-Denied Navigation
CDE 33135
2. Use of Deep Learning to Automate the
Understanding of Complex Relationships
CDE 36545

4. Network Enhanced GPS-Denied Navigation
CDE 33135

5. Unmanned Underwater Vehicles - UUVs
• A typical ocean floor surveying scenario
– 8 Hour mission
– Depth between 10 m and 200 m
– Coverage of approx 4 km2 per mission (2km x 2km box)
– Multiple UUVs performing scans of neighbouring boxes
– Searching for objects
– Have to surface for regular GPS fix
Frigate
Network of 4 UUVs scanning
seafloor patches in “lawnmower”
tracks

6. Technology
• Share position and timing information
over a local network
• Each UUV uses Chip Scale Atomic Clock
(CSAC) to provide timing reference
• Each node transmits a message at
regular intervals
• Message contains time, estimated
position, estimated accuracy
• Each node combines received
information from other UUVs to arrive
at a better position estimate
• Similar principal used for ensemble
clocks

7. Example result and Next Steps
Next Steps
• UUV Trials
• Adoption for dismounted
soldiers
• Adoption for UAVs
Conversations with end users
and interested programmes
welcomed

8. Use of Deep Learning to Automate the
Understanding of Complex Relationships
CDE 36545

9. Identify
• Deep Learning Algorithm identifies vehicle’s home base from
random data
• No training required

10. Thank You