LiDAR-Only Crop Navigation for Symmetrical Robot

This paper presents a navigation approach for autonomous agricultural robots based on LiDAR data. This navigation approach is divided into two parts: a line finding algorithm and a control algorithm. The paper proposes several line finding algorithms (based on PEARL/Ruby approach) that extract lines...

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Main Authors: Rémy Guyonneau, Franck Mercier, Gabriel Oliveira Freitas
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/22/8918
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author Rémy Guyonneau
Franck Mercier
Gabriel Oliveira Freitas
author_facet Rémy Guyonneau
Franck Mercier
Gabriel Oliveira Freitas
author_sort Rémy Guyonneau
collection DOAJ
description This paper presents a navigation approach for autonomous agricultural robots based on LiDAR data. This navigation approach is divided into two parts: a line finding algorithm and a control algorithm. The paper proposes several line finding algorithms (based on PEARL/Ruby approach) that extract lines from a LiDAR data set. Once the lines have been processed from the data set, a control algorithm filters these lines and, using a fuzzy controller, generates the wheel speed commands to move the robot among the crop rows. This navigation approach was tested using a simulator built on ROS middle-ware and Gazebo (the source codes of the simulation are available on GitHub). The results of the simulated experiments show that the proposed approach performs well for a large range of crop configurations (with or without considering weeds, with or without holes in the crop rows…).
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spelling doaj.art-6a1b6d8795044d8c875c18b50ac748af2023-11-24T09:57:53ZengMDPI AGSensors1424-82202022-11-012222891810.3390/s22228918LiDAR-Only Crop Navigation for Symmetrical RobotRémy Guyonneau0Franck Mercier1Gabriel Oliveira Freitas2LARIS (Laboratoire Angevin de Recherche en Ingénierie des Systèmes), SFR MATHSTIC, University of Angers, F-49000 Angers, FranceLARIS (Laboratoire Angevin de Recherche en Ingénierie des Systèmes), SFR MATHSTIC, University of Angers, F-49000 Angers, FranceLARIS (Laboratoire Angevin de Recherche en Ingénierie des Systèmes), SFR MATHSTIC, University of Angers, F-49000 Angers, FranceThis paper presents a navigation approach for autonomous agricultural robots based on LiDAR data. This navigation approach is divided into two parts: a line finding algorithm and a control algorithm. The paper proposes several line finding algorithms (based on PEARL/Ruby approach) that extract lines from a LiDAR data set. Once the lines have been processed from the data set, a control algorithm filters these lines and, using a fuzzy controller, generates the wheel speed commands to move the robot among the crop rows. This navigation approach was tested using a simulator built on ROS middle-ware and Gazebo (the source codes of the simulation are available on GitHub). The results of the simulated experiments show that the proposed approach performs well for a large range of crop configurations (with or without considering weeds, with or without holes in the crop rows…).https://www.mdpi.com/1424-8220/22/22/8918crop navigationLiDAR measurementsline extractionfuzzy controllerROS/Gazebo
spellingShingle Rémy Guyonneau
Franck Mercier
Gabriel Oliveira Freitas
LiDAR-Only Crop Navigation for Symmetrical Robot
Sensors
crop navigation
LiDAR measurements
line extraction
fuzzy controller
ROS/Gazebo
title LiDAR-Only Crop Navigation for Symmetrical Robot
title_full LiDAR-Only Crop Navigation for Symmetrical Robot
title_fullStr LiDAR-Only Crop Navigation for Symmetrical Robot
title_full_unstemmed LiDAR-Only Crop Navigation for Symmetrical Robot
title_short LiDAR-Only Crop Navigation for Symmetrical Robot
title_sort lidar only crop navigation for symmetrical robot
topic crop navigation
LiDAR measurements
line extraction
fuzzy controller
ROS/Gazebo
url https://www.mdpi.com/1424-8220/22/22/8918
work_keys_str_mv AT remyguyonneau lidaronlycropnavigationforsymmetricalrobot
AT franckmercier lidaronlycropnavigationforsymmetricalrobot
AT gabrieloliveirafreitas lidaronlycropnavigationforsymmetricalrobot