Exploring the soil information of an unknown terrain on the extraterrestrial is one of the major missions of space exploitation and human colonization. Using the autonomous vehicle to facilitate the soils sampling process is an emerging technology; it has been applied many times in the previous missions of Moon and Mars. This paper takes advantage of the nature of soil-zonality to propose a novel algorithm to traverse an area to save time and energy of the autonomous vehicle. Three searching tactics to suggest the vehicle to move next location, including: (1) fundamental—based on the patterns of soil map; (2) density—based on the higher scale first principle; and (3) statistical—based on the soil information gathered from the previous scan. This paper also argues using the statistical analysis as the soil properties sample comparison tool will be less cost from present practice—visually remote controlled and grabbing the samples back for later analysis.
Prototype of Environment Analytics Driven Autonomous Vehicle
Earth and Space 2014 ; 2014 ; St. Louis, Missouri
Earth and Space 2014 ; 192-199
2015-06-15
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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