Neural-Assisted in-Motion Self-Heading Alignment
Autonomous platforms operating in the oceans require accurate navigation to successfully complete their mission. In this regard, the initial heading estimation accuracy and the time required to achieve it play a critical role. The initial heading is traditionally estimated by model-based approaches employing orientation decomposition. However, methods such as the dual vector decomposition and optimized attitude decomposition achieve satisfactory heading accuracy only after long alignment times.
Record details
Published: 31 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment
Retrieved: 14 July 2026
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ethics.ai (31 March 2026), “Neural-Assisted in-Motion Self-Heading Alignment,” evidence record 6528, https://ethics.ai/record/6528 (originally published by arXiv).
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