Absolute localisation in global navigation satellite system–denied navigation: Comparative robustness of adventitious and engineered landmark anchoring
Reliable absolute localisation over kilometre-scale trajectories in global navigation satellite system-denied environments remains a fundamental challenge for small autonomous aerial vehicles. Visual–inertial odometry and simultaneous localisation and mapping provide accurate short-term motion estimates but accumulate drift, requiring periodic absolute correction from external references. Two principal strategies exist: alignment to adventitious scene landmarks derived from prior mapping, and detection of deployed engineered fiducial markers. This article develops a neutral probabilistic framework to compare these approaches. We introduce Landmark Integrity as a unified descriptor of reference persistence, visibility, and identification reliability, and show that both adventitious landmark anchoring and engineered landmark anchoring reduce to robust subset selection within a field of potentially unreliable markers. A closed-form expression is derived for terminal localisation success probability as a function of usable landmark density, integrity, and required accuracy. Using literature-informed modelling priors across representative terrains and illumination conditions, we identify regimes where adventitious landmark anchoring suffices, but also identify regimes fundamentally limited by scene structure. Metre-scale terminal accuracy in low-texture or degraded-visibility environments is unlikely to be achievable by adventitious landmark anchoring alone, whereas engineered landmark anchoring maintains high reliability within a confined terminal region. These results motivate hybrid architectures combining adventitious landmark anchoring acquisition with engineered landmark anchoring or terminal seekers for precision.
Authors
- Peter J. Cumpson (ORCID: https://orcid.org/0000-0002-7517-0659)
Publication Details
- Journal
- The Journal of Defense Modeling and Simulation Applications Methodology Technology
- Published
- 2026-10-09
- DOI
- https://doi.org/10.1177/15485129261494540
- Primary Topic
- Robotics and Sensor-Based Localization
- Type
- article
- Field-Weighted Citation Impact
- 0.00