Work

The application of Tobler's hiking function in data-driven traverse modelling for planetary exploration

Year: 2024

Type: article

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-s intervals suggests a linear relationship between walking velocity and slope is useful for grid walking algorithms, but longer sampling intervals (>120 s) 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.

Source: Acta Astronautica

DOI: 10.1016/j.actaastro.2024.12.005

Authors: Arthur Goodwin, Megan Hammett, Myles Harris

Institutions: University of Manchester, National Science and Technology Center for Disaster Reduction

Language: English

Topic: Space Exploration and Technology

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,950

Funder: Science and Technology Facilities Council