GPS has revolutionised our world. Over a trillion dollars of the US economy and over 800 billion euros of the European economy currently depend on this incredible positioning and timing system. However the sensitivity and accuracy of current generation GNSS receivers are not high enough to provide the levels of performance demanded by pedestrian and vehicular users in urban spaces. Focal Point Positioning technologies solve these problems


The revolutionary GPS upgrade our connected world has been waiting for.

S-GPS is a smartphone-based sensor fusion, machine learning, and signal processing suite designed to provide satellite positioning capabilities in areas that have, until now, been unreachable. This new approach provides market-leading sensitivity in conjunction with a powerful new multipath-mitigation process. These features dramatically improve the performance of existing GNSS receivers, providing new capabilities and higher availability in urban environments and even indoors.

S-GPS is a fully software-defined solution aimed at the modern system-on-a-chip silicon architecture used by consumer GNSS receivers. This means that S-GPS requires no extra hardware or infrastructure for it to provide its benefits; it is a software upgrade for existing systems. The computational load of S-GPS is also comparable to that of existing GNSS processing. Critically, the much higher sensitivity of S-GPS allows signal tracking to be maintained in traditionally difficult environments, such as deep indoors, where standard devices would fail. This reduces the time spent in acquisition mode in urban areas, leading to significant improvements in battery life in like-for-like tests with standard A-GPS technologies.


The applications of robust, high integrity, high accuracy position and time in any environment include:


  • Ubiquitous smartphone localisation, without databases or local infrastructure

  • E-911 and E-112 localisation of emergency calls

  • High-integrity and high-performance navigation systems for autonomous vehicles

  • Lone worker, blue light and security tracking systems

  • Authentication procedures for financial transactions (tight location and time bounding)

  • High-integrity geofencing

  • Spoofing detection and mitigation​




Next generation tracking software that makes your smartphone or wearable device even smarter.

D-Tail™ is a human-motion-modeling system that can accurately track users in three dimensions using the inertial sensors in their smartphone or wearable devices. The result is a precise trace of the user's motion, going well beyond the levels of detail and accuracy provided by simple dead-reckoning and WiFi fingerprinting techniques.

D-Tail™ harnesses the power of machine learning techniques and advanced human motion models to provide performance on-par with modern optical flow tracking devices, but without requiring cameras. The very low-drift, high-precision tracking capability of D-Tail™ makes for incredibly accurate reconstruction of trajectories, enabling much greater confidence in dead-reckoning techniques. 


This level of performance can greatly enhance consumer products such as wearables by providing more trusted data. This is suited to instances where there is demand for higher-integrity information like trajectories and gait. D-Tail™ also supports the generation and maintenance of WiFI/BLE fingerprint databases. Currently, this process uses expensive manual surveying or less expensive but inaccurate crowdsourcing methods. By significantly improving the accuracy and precision of crowdsourced trajectories used to seed fingerprint databases, D-Tail™ could provide the means to dramatically reduce costs in this space.

The movie below shows examples of D-Tail™ and its ability to reproduce complex human motion suited to activity monitoring and wearable technologies. The clear oscillatory behaviour in the tracks are real - D-Tail™ provides a centimetre-level accurate reconstruction in 3D of the smartphone's path through space as the user moves. By comparison, the normal GPS traces from the smartphone are much less detailed and more inaccurate.

We are currently developing D-Tail™ as a cloud based solution, although it can also run in real time at the application or the hardware level, live on devices.


The applications for low-drift, high-accuracy inertial tracking include:

  • Highly-accurate, high-update-rate 3D trajectories
    for wearables and fitness tracking

  • Indoor smartphone localisation

  • Analytics

  • Fingerprint map generation and augmentation
    of fingerprint based positioning



Our software enhances consumer products and provides data that can be trusted.


Our technology extends the reach of GNSS positioning deep into urban spaces while maintaining high accuracy.

Autonomous Vehicles

Self-driving cars will be safer and more reliable thanks to Focal Point Positioning. 

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