LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation
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Abstract (arXiv)
The Artemis program requires robotic and crewed lunar rovers for resource prospecting and exploitation, construction and maintenance of facilities, and human exploration. These rovers must support navigation for 10s of kilometers (km) from base camps. A lunar science rover mission concept - Endurance-A, has been recommended by the new Decadal Survey as the highest priority medium-class mission of the Lunar Discovery and Exploration Program, and would be required to traverse approximately 2000 km in the South Pole-Aitkin (SPA) Basin, with individual drives of several kilometers between stops for downlink. These rover mission scenarios require functionality that provides onboard, autonomous, global position knowledge ( aka absolute localization). However, planetary rovers have no onboard global localization capability to date; they have only used relative localization, by integrating combinations of wheel odometry, visual odometry, and inertial measurements during each drive to track position relative to the start of each drive. In this work, we summarize recent developments from the LunarNav project, where we have developed algorithms and software to enable lunar rovers to estimate their global position and heading on the Moon with a goal performance of position error less than 5 meters (m) and heading error less than 3-degree, 3-sigma, in sunlit areas. This will be achieved autonomously onboard by detecting craters in the vicinity of the rover and matching them to a database of known craters mapped from orbit. The overall technical framework consists of three main elements: 1) crater detection, 2) crater matching, and 3) state estimation. In previous work, we developed crater detection algorithms for three different sensing modalities. Our results suggest that rover localization with an error less than 5 m is highly probable during daytime operations.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 2 of its 31 references that are in the map. First posted on arXiv 3 Jan 2023.
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2 of 31 references.
References · 2
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Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 2.
6 papers.
- 2024ShadowNav: Autonomous Global Localization for Lunar Navigation in Darknesscited by 3
- 2023ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigationcited by 1
- 2025LunarLoc: Segment-Based Global Localization on the Mooncited by 1
- 2025Adaptive Quantized Planetary Crater Detection System for Autonomous Space Explorationcited by 0
- 2026Visual SLAM with DEM Anchoring for Lunar Surface Navigationcited by 0
- 2026Globally Localizing Lunar Rover in Pixels via Graph Alignmentcited by 0
- 2026Globally Localizing Lunar Rover in Pixels via Graph Alignment9 Jun 2026
- 2026Visual SLAM with DEM Anchoring for Lunar Surface Navigation18 Mar 2026
- 2025Adaptive Quantized Planetary Crater Detection System for Autonomous Space Exploration25 Aug 2025
- 2025LunarLoc: Segment-Based Global Localization on the Moon20 Jun 2025
- 2024ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness2 May 2024
- 2023ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation11 Jan 2023