Journal of the Robotics Society of Japan
Online ISSN : 1884-7145
Print ISSN : 0289-1824
ISSN-L : 0289-1824
Paper
Prototype and Experimental Results of a Retrofittable Deep Snow Work Assist System
Kaito IchiharaTadahiro HasegawaShin'ichi YutaTomoyuki KatoMotoyuki ShiraishiKentaro NimuraNaoki KanohShinsuke Sunaga
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2023 Volume 41 Issue 7 Pages 639-642

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Abstract

The prototype of a retrofittable deep snow work assist system was developed and experimentally verified in deep snow removal works. This assist system, which displays a vehicle model in real time on a 3D map of the snow removal site created when there is no snow, enables vehicle's operators to accurately identify the vehicle's position and attitude even in deep snow environments. Furthermore, the assist system can be retrofitted to various types of vehicles. The experimental results showed the potential application as a guidance system for deep snow removal works.

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