#5966. The MADMAX data set for visual-inertial rover navigation on Mars

August 2026publication date
Proposal available till 07-06-2025
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Journal’s subject area:
Computer Science Applications;
Control and Systems Engineering;
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Abstract:
Planetary rovers increasingly rely on vision-based components for autonomous navigation and mapping. Developing and testing these components requires representative optical conditions, which can be achieved by either field testing at planetary analog sites on Earth or using prerecorded data sets from such locations. However, the availability of representative data is scarce and field testing in planetary analog sites requires a substantial financial investment and logistical overhead, and it entails the risk of damaging complex robotic systems. To address these issues, we use our compact human-portable DLR Sensor Unit for Planetary Exploration Rovers (SUPER) in the Moroccan desert to show resource-efficient field testing and make the resulting Morocco-Acquired data set of Mars-Analog eXploration (MADMAX) publicly accessible. The data set consists of 36 different navigation experiments, captured at eight Mars analog sites of widely varying environmental conditions.
Keywords:
exploration; extreme environments; navigation; planetary robotics; SLAM

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