A Novel Graph Optimisation Approach to Localisation (GOAL) with Application for Unmanned Systems
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- A Novel Graph Optimisation Approach to Localisation (GOAL) with Application for Unmanned Systems
Technology Overview
The GOAL algorithm addresses the need for precise localisation in autonomous robots, optimising energy consumption while delivering high accuracy, enabling improved navigation and control.
Precise Localisation of Unmanned Robots
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High-precision positioning in GPS-denied maritime environments:
Accurate 2D/3D localisation for autonomous vessels and drones operating near ports and offshore structures.
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Reliable performance in non-line-of-sight (NLOS) conditions:
Robust signal filtering reduces positioning errors caused by cranes, hulls, and port infrastructure.
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Multi-sensor fusion for harsh marine conditions :
Combines ultra-wideband with inertial measurement units and vision sensors to maintain stable localisation despite waves, spray, and low visibility.
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Enhanced vertical accuracy without extra hardware:
Improves 3D positioning performance without increasing payload weight or system cost.
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Low-power, onboard processing efficiency:
Designed for battery-operated unmanned systems, enabling longer mission endurance.
Maritime Use Cases

The precise localization technology could be integrated into autonomous or remotely operated maritime vehicles, such as USVs, AUVs, and ROVs, to improve their navigational accuracy and positioning capabilities, particularly in areas with limited or unreliable GPS coverage.

Accurate positioning is crucial for a wide range of maritime applications, including autonomous navigation, docking and berthing, underwater infrastructure mapping, and seafloor exploration.

The localization system could be combined with other sensor technologies, such as LiDAR, sonar, or inertial measurement units, to provide a comprehensive and redundant positioning solution for maritime autonomous systems.



