TremblayBelandGagnonEtAl2020

Référence

Tremblay, J.-F., Beland, M., Gagnon, R., Pomerleau, F., Giguère, P. (2020) Automatic three-dimensional mapping for tree diameter measurements in inventory operations. Journal of Field Robotics, 37(8):1328-1346. (Scopus )

Résumé

Forestry is a major industry in many parts of the world, yet this potential domain of application area has been overlooked by the robotics community. For instance, forest inventory, a cornerstone of efficient and sustainable forestry, is still traditionally performed manually by qualified professionals. The lack of automation in this particular task, consisting chiefly of measuring tree attributes, limits its speed, and, therefore, the area that can be economically covered. To this effect, we propose to use recent advancements in three-dimensional mapping approaches in forests to automatically measure tree diameters from mobile robot observations. While previous studies showed the potential for such technology, they lacked a rigorous analysis of diameter estimation methods in challenging and large-scale forest environments. Here, we validated multiple diameter estimation methods, including two novel ones, in a new publicly-available dataset which includes four different forest sites, 11 trajectories, totaling 1458 tree observations, and 14,000 m2. From our extensive validation, we concluded that our mapping method is usable in the context of automated forest inventory, with our best diameter estimation method yielding a root mean square error of 3.45 cm for our whole dataset and 2.04 cm in ideal conditions consisting of mature forest with well-spaced trees. Furthermore, we release this dataset to the public (https://norlab.ulaval.ca/research/montmorencydataset), to spur further research in robotic forest inventories. Finally, stemming from this large-scale experiment, we provide recommendations for future deployments of mobile robots in a forestry context. © 2020 Wiley Periodicals LLC

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { TremblayBelandGagnonEtAl2020,
    AUTHOR = { Tremblay, J.-F. and Beland, M. and Gagnon, R. and Pomerleau, F. and Giguère, P. },
    JOURNAL = { Journal of Field Robotics },
    TITLE = { Automatic three-dimensional mapping for tree diameter measurements in inventory operations },
    YEAR = { 2020 },
    NOTE = { cited By 2 },
    NUMBER = { 8 },
    PAGES = { 1328-1346 },
    VOLUME = { 37 },
    ABSTRACT = { Forestry is a major industry in many parts of the world, yet this potential domain of application area has been overlooked by the robotics community. For instance, forest inventory, a cornerstone of efficient and sustainable forestry, is still traditionally performed manually by qualified professionals. The lack of automation in this particular task, consisting chiefly of measuring tree attributes, limits its speed, and, therefore, the area that can be economically covered. To this effect, we propose to use recent advancements in three-dimensional mapping approaches in forests to automatically measure tree diameters from mobile robot observations. While previous studies showed the potential for such technology, they lacked a rigorous analysis of diameter estimation methods in challenging and large-scale forest environments. Here, we validated multiple diameter estimation methods, including two novel ones, in a new publicly-available dataset which includes four different forest sites, 11 trajectories, totaling 1458 tree observations, and 14,000 m2. From our extensive validation, we concluded that our mapping method is usable in the context of automated forest inventory, with our best diameter estimation method yielding a root mean square error of 3.45 cm for our whole dataset and 2.04 cm in ideal conditions consisting of mature forest with well-spaced trees. Furthermore, we release this dataset to the public (https://norlab.ulaval.ca/research/montmorencydataset), to spur further research in robotic forest inventories. Finally, stemming from this large-scale experiment, we provide recommendations for future deployments of mobile robots in a forestry context. © 2020 Wiley Periodicals LLC },
    AFFILIATION = { School of Computer Science, McGill University, Montréal, Canada; Department of Geomatics Sciences, Université Laval, Québec, Canada; Centre de Recherche Industrielle du Québec, Québec, Canada; Northern Robotics Laboratory, Université Laval, Québec, Canada },
    AUTHOR_KEYWORDS = { cylinder fitting; field robotics; forestry; ICP; lidar; mapping; registration },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1002/rob.21980 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089187005&doi=10.1002%2frob.21980&partnerID=40&md5=18202f675aaf056482d4be19c94d220c },
}

********************************************************** *************************** FRQNT ************************ **********************************************************

Le CEF est un
regroupement stratégique du

********************************************************** *********************** Infolettre *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** *********************** Colloque Chaire AFD ************** **********************************************************

**********************************************************

***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

  • Voici une liste (clairement incomplète) des packages R axés sur l'écologie! N'hésitez pas à ajouter à la liste

Voir les autres...