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Patents and spinouts

We're proud of the industry success the CDT has achieved, including the registration of 2 patents and the establishment of two spinout companies.

  • Patent: A Deep Neural Network-Based Calibration Method for Vehicular Accelerometers Using Stationary Point Detection

    Daniel Chadwick has applied for a patent for A Deep Neural Network-Based Calibration Method for Vehicular Accelerometers Using Stationary Point Detection which is currently in the patent review process. It presents a neural network–based calibration method that improves inertial sensor accuracy for navigation applications.

  • Patent: Method for Dictionary Learning and Sparse Coding

    Richard Jinschek has filed for a patent for Method for Dictionary Learning and Sparse Coding as first inventor. The patent explains two methodologies that introduce changes to how BPFA implementations can form an enhanced final approximation. (Jinschek, R. K., et al. (2025). UK Patent Application No. GB 2417473.2, filed November 28, 2024).

  • Spinout: Voyant Innovations

    Delivers autonomous tracking and data fusion solutions for sea, land, air and space, designed by Simon Maskell and senior postdoc, Lyudmil Vladimirov.

  • Spinout: SenseAI Innovations

    A suite of AI technologies which dramatically changes how image sensing is used. CDT graduate, Jack Wells, is a lead developer.