Fast Route Planner Considering Terrain Information

Route planning considering terrain information is useful for the navigation of autonomous ground vehicles (AGV) on complicated terrain surfaces, such as mountains with rivers. For instance, an AGV in mountains cannot cross a river or a valley that is too steep. This article addresses a novel route-p...

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Main Author: Jonghoek Kim
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/12/4518
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author Jonghoek Kim
author_facet Jonghoek Kim
author_sort Jonghoek Kim
collection DOAJ
description Route planning considering terrain information is useful for the navigation of autonomous ground vehicles (AGV) on complicated terrain surfaces, such as mountains with rivers. For instance, an AGV in mountains cannot cross a river or a valley that is too steep. This article addresses a novel route-planning algorithm that is time-efficient in building a sub-optimal route considering terrain information. In order to construct a route from the start to the end point in a time-efficient manner, we simulate two virtual vehicles that deploy virtual nodes iteratively, such that the connected node network can be formed. The generated node network serves as a topological map for a real AGV, and we construct the shortest route from the start to the end point utilizing the network. The route is weighted considering the route length, the steepness of the route, and the traversibility of the route. Through MATLAB simulations, we demonstrate the effectiveness of the proposed route-planning algorithm by comparing it with RRT-star planners.
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spelling doaj.art-5ea55ad280c64cc2b67f351aced936742023-11-23T18:54:40ZengMDPI AGSensors1424-82202022-06-012212451810.3390/s22124518Fast Route Planner Considering Terrain InformationJonghoek Kim0Electronic and Electrical Department, Sungkyunkwan University, Suwon 03063, KoreaRoute planning considering terrain information is useful for the navigation of autonomous ground vehicles (AGV) on complicated terrain surfaces, such as mountains with rivers. For instance, an AGV in mountains cannot cross a river or a valley that is too steep. This article addresses a novel route-planning algorithm that is time-efficient in building a sub-optimal route considering terrain information. In order to construct a route from the start to the end point in a time-efficient manner, we simulate two virtual vehicles that deploy virtual nodes iteratively, such that the connected node network can be formed. The generated node network serves as a topological map for a real AGV, and we construct the shortest route from the start to the end point utilizing the network. The route is weighted considering the route length, the steepness of the route, and the traversibility of the route. Through MATLAB simulations, we demonstrate the effectiveness of the proposed route-planning algorithm by comparing it with RRT-star planners.https://www.mdpi.com/1424-8220/22/12/4518fast route plannercollision avoidancerough terrainsafe route plannerroute lengthterrain information
spellingShingle Jonghoek Kim
Fast Route Planner Considering Terrain Information
Sensors
fast route planner
collision avoidance
rough terrain
safe route planner
route length
terrain information
title Fast Route Planner Considering Terrain Information
title_full Fast Route Planner Considering Terrain Information
title_fullStr Fast Route Planner Considering Terrain Information
title_full_unstemmed Fast Route Planner Considering Terrain Information
title_short Fast Route Planner Considering Terrain Information
title_sort fast route planner considering terrain information
topic fast route planner
collision avoidance
rough terrain
safe route planner
route length
terrain information
url https://www.mdpi.com/1424-8220/22/12/4518
work_keys_str_mv AT jonghoekkim fastrouteplannerconsideringterraininformation