Goodwin, Arthur;
Hammett, Megan;
Harris, Myles;
(2024)
The Application of Tobler’s Hiking Function in Data-Driven Traverse Modelling for Planetary Exploration.
Acta Astronautica
10.1016/j.actaastro.2024.12.005.
(In press).
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Abstract
Using data collected from the Meili-I analog crewed mission hosted on a remote Scottish island during August 2023, we analyze GNSS traverse tracks to assess walking velocity in relation to terrain slope. A series of data sampling tests to derive models using a generalized form of Tobler’s Hiking Function indicates these models are only applicable to a similar resolution at which they were derived. Deriving walking velocity at 20-second intervals suggests a linear relationship between walking velocity and slope is useful for grid walking algorithms, but longer sampling intervals (>120 seconds) indicate a greater sensitivity to slope, likely recording long-period affects of exhaustion from prolonged ascending/descending of slopes. Findings are constrained by the limitations of environmental variables during the mission, including variable weather conditions and increasing familiarity with terrain. Applying calibrated hiking functions to grid walking algorithms (i.e., Dijkstra’s algorithm) offers time-optimal paths useful for walk-back contingency planning but is unsuited for planning exploration geology traverses.
Type: | Article |
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Title: | The Application of Tobler’s Hiking Function in Data-Driven Traverse Modelling for Planetary Exploration |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.actaastro.2024.12.005 |
Publisher version: | https://doi.org/10.1016/j.actaastro.2024.12.005 |
Language: | English |
Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License. |
Keywords: | Crewed Planetary Exploration, Analog, Hiking Function, Traverse Velocity, Fieldwork |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10201492 |
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