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Evidence record 2175 · automatically gathered

Zero-shot semantic landmark-based visual odometry using foundation models for unstructured planetary exploration

Precise autonomous navigation on unstructured planetary surfaces is a critical prerequisite for future exploration missions, particularly in GNSS-denied environments such as the Lunar South Pole or Martian deserts. Traditional Visual Odometry (VO) methods, which rely on tracking low-level geometric features (e.g., corners), often fail under the extreme illumination contrast of the Moon or the textural monotony of the Martian regolith. In this work, we present a zero-shot semantic landmark-based

Record details

Published: 8 July 2026
Source: Frontiers in Robotics and AI
Category: Research
Topics: Privacy · Environment
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (8 July 2026), “Zero-shot semantic landmark-based visual odometry using foundation models for unstructured planetary exploration,” evidence record 2175, https://ethics.ai/record/2175 (originally published by Frontiers in Robotics and AI).

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