Navigating the AI revolution in PNT

Jul

10

Navigating the AI revolution in PNT

Brought to you by The Location Group

Join the Location SIG and the Royal Institute of Navigation at an event to discuss where we think AI can have the most significant impact on Positioning Navigation and Timing.

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Event Information

10 July Starting at 13:30

Approx 3 hours, 45 minutes

Bradfield Centre, 184 Cambridge Science Park, Milton Road, Cambridge, CB4 0GA

Free to members / £50.00 (+ VAT) for non members

About the event

The AI revolution has arrived and vast sums of money are being poured into AI assistants and AI workforce replacements/augmentations. The field of PNT has been making use of traditional analytical and procedural Machine Learning for decades in areas such as sensor fusion, filtering, and data analyses but we are still at the beginning of understanding the benefits and risks of applying new data-driven techniques to our sector.

Important questions like "Can neural networks be used within a safety critical navigation system?" are currently open to debate. In this half-day event run by Cambridge Wireless and the Royal Institute of Navigation we will be hearing from experts across academia and industry and discussing where we think AI can have the most significant impact on Positioning Navigation and Timing.

This event is delivered in collaboration with the Royal Institute for Navigation (RIN) and will provide delegates with ample opportunities to network with fellow attendees to explore the themes of this event.

This event is free to members of both Cambridge Wireless and the Royal Institute for Navigation (RIN). Tickets for non-members are £50 plus VAT.

Sponsorship: We have a sponsorship opportunity available for this event so if you are interested in maximising your organisation’s profile, please contact clare.kettle@cambridgewireless.co.uk for further information.

Employees of CW member organisations can attend this event for free. You will need to be logged into your CW account to access your free ticket – log in (or reset your password here)

If you are a member of either RIN or Cambridge Wireless and encounter any difficulties accessing your free place please email clare.kettle@cambridgewireless.co.uk

You can follow @CambWireless on Twitter and tweet about this event using #CWLocation.

Agenda

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The information supplied below may be subject to change before the event.

13:30

Registration and networking with refreshments

14:00

Welcome from Cambridge Wireless, David Bartlett, u-blox UK and Cambridge Wireless SIG Champion

14:05

Welcome & Introduction from Ramsey Faragher, Royal Institute of Navigation, AI Working Group Chair & Cambridge Wireless SIG Champion

14:15

Professor Neil Lawrence, The DeepMind Professor of Machine Learning, University of Cambridge. Senior AI Fellow, The Alan Turing Institute & Visiting Professor of Machine Learning, University of Sheffield

'Reacting, Fast and Slow'

What is fundamental to our intelligence? In this talk building on the ideas in The Atomic Human I argue that the external world is key to our intelligence, and how that world is filtered before we perceive it. This leads to the Eisenhower illusion, where we feel ourselves in charge but we are in fact reliant on fast reacting systems.

14:50

William Shepherd, Technical Sales Manager, & Nathan Daniels, Forsberg Services

'Coding design choices in Forsberg’s new Orion optical navigation engine; AI vs Data Science.”

15:10

Matt Gadd, OXA

15:30

Refreshment break

16:10

Téo Bloch, Senior Data Scientist, Telespazio UK Ltd

‘The Need for Large, Centralised Benchmark Datasets in PNT’

This talk will discuss the benefits of centralised, open benchmark datasets in PNT and how this should be a priority for trust building, rather than other popular topics (e.g., explainable AI).

16:30

Dr Ivan Petrunin, Reader in Signal Processing for Autonomous Systems, Centre for Autonomous and Cyber-Physical Systems, Cranfield University

‘Improving the PNT performance with AI techniques: benefits and challenges’

Continuing development in the area of autonomy, in particular, drone operations and advanced air mobility, sets tighter requirements for the performance of the PNT solutions required in these systems and their robustness. AI is seen as a powerful tool able to bring the PNT system performance to a new level, however, a careful approach is required to balance the accuracy and reliability of such a solution, especially for operation in diverse conditions. In this talk we share views on improvements that AI can bring to the PNT system performance and discuss challenges and lessons learnt using several examples of multi-sensor navigation systems.

16:50

Panel with session speakers, Chaired by Ramsey Faragher, Royal Institute of Navigation, AI Working Group Chair & Cambridge Wireless SIG Champion

17:20

Closing remarks and event closes

Speakers

Téo Bloch - Senior Data Scientist, Telespazio

Téo has a PhD in Space-Physics and Machine learning, providing four years of experience in complex data-science projects. Following this, he worked as a data scientist using remote sensing data for applications related to food-security analyses. Within Telespazio, Téo works to integrate machine learning into infrastructure, navigation, environmental and quality control applications.

Nathan Daniels

Nathan Daniels is a graduate engineer starting a development project at Forsberg PNT in pursuit of a PhD in Artificial Intelligence related to optical navigation. Nathan holds an MSci degree from Lancaster University, and specialises in artificial intelligence and computer vision. Nathan is the founder of an AI consulting startup focused on the fintech and fitness sectors.

Neil Lawrence - DeepMind Professor of Machine Learning, University of Cambridge, Visiting Professor, University of Sheffield

Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge. He has been working on machine learning models for over 20 years. He recently returned to academia after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the physical world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines.

Ivan Petrunin - Reader in Signal Processing for Autonomous Systems, Centre for Autonomous and Cyber-Physical Systems, Cranfield University

Dr Ivan Petrunin received an MSc in the design of electronic equipment from the National Technical University of Ukraine, in 1998, and a PhD in Applied Signal Processing from Cranfield University, in 2012. He is currently a Reader (Associate Professor) in Signal Processing for Autonomous Systems, leading the Signal and Autonomy research group within the Centre for Autonomous and Cyber-Physical Systems. His expertise covers areas of signal processing and artificial intelligence with application to cognitive communication, radars, resilient navigation and timing solutions for ground and aerial systems, and several other application areas. Ivan's research in this area has a particular emphasis on the enhancement of performance and safety of operations by developing and employing techniques based on Artificial Intelligence.

William Shepherd - Technical Sales Manager, Forsberg Services

William (Bill) Shepherd RD CEng FIET MRIN is a professional electronics engineer with a technical background in the development of sensor systems' hardware, software and firmware. Will’s last role was as CEO of a startup business focused upon the development of trustworthy AI. In parallel to his civilian career, Will was a Royal Navy Reserve Officer for nineteen years.

SIG Champions

David Bartlett - Head of Technology Positioning, u-blox UK

David Bartlett works in the positioning technology (R&D) group at u-blox with a focus on hybrid positioning: bringing together GNSS with terrestrial systems such as UWB and V2X, primarily in support of future autonomous vehicle, driverless car and robotics applications but also for IoT and indoor positioning. Prior to this he was CTO and co-founder of Omnisense delivering high precision indoor IoT tracking solutions. He also worked at Cambridge Positioning systems with a focus on cellular positioning and network aided GNSS techniques.

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Bob Cockshott - Knowledge Transfer Manager, Positioning, Navigation, Timing and Quantum, KTN

After 25 years in the space industry working mainly on electro-optical payloads, Bob has spent the last 13 years in the government-funded Knowledge Transfer Network, supporting business in position, navigation and timing, and more recently also quantum technology. Bob has taken a special interest in GNSS vulnerability, and has organised international conferences on vulnerability and its mitigation. Bob is a member of the Cabinet Office PNT Technical Group and chairs the Royal Institute of Navigation’s Technical Committee. Bob is a member of the International Time and Sync Forum Steering Group and is also a Cambridge Wireless Location Based Services SIG Champion.

Ramsey Faragher - Founder, President, and CTO, FocalPoint

Dr Ramsey Faragher is Founder, President and CTO of Focal Point Positioning, a Fellow of the Royal Institute of Navigation, and a Fellow of Queens' College, at the University of Cambridge. He is the inventor of the Supercorrelation digital signal processing technique, which has redefined the state of the art in GPS positioning. He is the author of dozens of patents, and has been the recipient of numerous awards within the positioning and navigation ecosystem. His company is pioneering improvements to smartphone and automotive navigation systems, and in the past during his time in the Defence sector he has developed technologies that have been to the bottom of the ocean and all the way to Mars. He also helped to improve the bluetooth tracking capabilities of various globally-deployed contact tracing technologies during the Covid pandemic. He regularly contributes to technology podcasts, writes for Forbes, and has provided science advice for two television production companies. Ramsey lives with his family in Cambridge and is currently navigating the challenging landscape of having three small and adventurous children.

Ben Tarlow - Senior Staff Engineer, Qualcomm Technologies International

Ben has worked in positioning for 15 years, developing algorithms for satellite, cellular and other terrestrial RF technologies. At Qualcomm, Ben works in the Advanced Algorithms group, where current research areas in location are data fusion, use of sensor data for positioning and fitness applications; one day, he hopes to be given the remit to explore the area of olfactory positioning. Ben has a background in Pure Mathematics and a PhD in Combinatorics. He has over 20 different patents filed or granted, mostly on subjects relating to positioning.

Event Location

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Location info

Bradfield Centre, 184 Cambridge Science Park, Milton Road, Cambridge, CB4 0GA

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