Subsea Navigation GNSS-denied navigation · AUV & UUV RV Subsea Navigation

Munich, Germany

GNSS-denied navigation for underwater vehicles.

Underwater there is no satellite signal — not jammed, it is totally absent. A vehicle can estimate its motion by dead reckoning, but that estimate drifts: the error grows with distance travelled. Terrain-aided navigation bounds that drift by matching the measured seabed profile against a chart — but only where the terrain supports it. From the chart, and before any vehicle enters the water, RV Subsea determines where terrain-aided navigation can meet a mission's required accuracy, and where it cannot — including where it would fail while reporting high confidence.

Service

Where terrain-aided navigation is viable — determined from the chart

Taking enquiries

Seabed suitability assessment

From the chart alone, before any vehicle enters the water, the assessment determines — for a specified vehicle, sonar and required position accuracy — where terrain-aided navigation can meet that accuracy over a given area, and where it cannot.

Terrain-aided navigation can fail in two distinct ways, and they are not equally dangerous. Over low-relief seabed the depth profile changes little with position, so the fix is weakly determined: the estimator cannot resolve position well, and it reports that low confidence — a benign failure, since the vehicle registers its own uncertainty. Over terrain that repeats, the measured profile matches the chart at the true position and at other positions equally well, so the estimator can converge on a wrong position while reporting high confidence — a hazardous failure, since the vehicle is confident and wrong. The assessment evaluates both conditions — whether position is observable at all, and whether a wrong position could pass undetected — and classifies each area by the more limiting of the two. Terrain-roughness indices quantify how rugged the seabed is; they test neither condition.

The authoritative global bathymetric grid (GEBCO) states in its own terms of use that it must not be used for navigation, and only about a third of the ocean floor is mapped to modern standards. A chart must therefore be assessed per area before it is relied on for navigation. The method is being cross-checked against published terrain-navigation trials: where a terrain-aided system is documented to have operated on a real seabed, the assessment should independently classify that seabed as suitable.

What a study provides

For a specified area, a study delivers:

  • A per-area suitability classification — suitable, insufficient information, or ambiguous — as a map
  • Operating-envelope guidance: minimum navigation-leg length and vehicle altitude
  • Whether the seabed or the chart is the limiting factor, and whether a higher-resolution survey would change the result
  • Reproducible end to end, traced to published datasheets, standards and survey data
Perspective view of a real North Aegean seabed area, coloured by where terrain-aided navigation is suitable, uncertain, or at risk of a wrong fix Plan (top-down) view of the same seabed area, coloured by the same suitability classification
suitable for terrain navigation too little information ambiguous — risk of a wrong fix
A real 10 km × 10 km area of the North Aegean Trough, shown in perspective (left) and in plan view (right). The track is illustrative; vertical scale in the perspective view is exaggerated to show the relief.

Bathymetry: EMODnet Bathymetry (CC-BY 4.0)

Roadmap

Capabilities in development

In development

Navigation performance evaluation

A hardware-in-the-loop bench for quantifying underwater navigation performance before hardware is committed — instrumented results over real bathymetry rather than vendor datasheets.

  • Sensor-suite trade studies
  • Navigation requirement definition
  • Vendor and subsystem evaluation
  • Acceptance-test frameworks for unmanned maritime bids
In development

Terrain-Aided Navigation engine

A GNSS-denied navigation engine that matches measured bathymetry against a prior map to arrest inertial drift, fused with inertial and Doppler-velocity measurements, for integration as a subsystem in AUV and UUV platforms. Working name Styx.

Engine — C++ / CUDA, embedded GPU target
Integration — ROS 2, estimation core kept framework-independent
Sensing — multibeam and single-beam bathymetry, INS, DVL
Map data — EMODnet, GEBCO

Background

Where this comes from

My doctoral work at the National Technical University of Athens was on trajectory planning and tracking control for underactuated AUVs. The lead paper, in Ocean Engineering, remains cited in the field.

I then spent fifteen years in German industry taking autonomy from research into production: autonomous-driving tooling and embedded optimisation at Intel and Mobileye, visual SLAM and fleet navigation at Siemens, vehicle motion-control architecture at VinFast as Principal Engineer, and transmission and hybrid-powertrain control at Continental. Earlier, at Intracom Defense Electronics, I worked on embedded Linux and networking for a General Dynamics UK programme.

This is a return to the problem I started on, with fifteen years of production engineering discipline behind it.
Publications on Google Scholar →

Current work

What is running today

Study NA-01 — a seabed-suitability assessment over real North Aegean bathymetry (public EMODnet data), computed from the chart alone and reproducible end to end: every result is regenerated from code, with the software version and the dataset's checksum recorded. The chart's own error is measured from where neighbouring surveys overlap and shown against the hydrographic standard (IHO S-44), so the difference can be checked. The hardware-in-the-loop bench and the Terrain-Aided Navigation engine (Styx) are in development alongside it.

Contact

Get in touch

I am open to conversations with integrators, shipyards, platform builders and research consortia working on subsea autonomy — whether that is evaluation work, a consortium role, or a navigation subsystem.

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