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Chapter

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Title

Localization of Agricultural Robots: Challenges, Solutions, and a New Approach

Authors

[ 1 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee | [ SzD ] doctoral school student

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technology

Year of publication

2023

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN An important factor in precision agriculture is the accurate localization of the field machinery, which is necessary to apply the agrotechnical treatment precisely to the target location. As robots start to replace manned machines, appropriate localization techniques have to be deployed to allow these robots to localize accurately on large areas that often contain very few salient features. This paper provides a brief survey of the approaches to localization in agricultural robotics illustrated by example solutions from the literature. Then, a new approach to robot localization on large areas with sparse features is presented, leveraging the ubiquitous GNSS solution in its low-cost form combined with classic SLAM methods. We present preliminary results obtained on an electric work cart that demonstrate improved localization accuracy.

Date of online publication

05.02.2023

Pages (from - to)

118 - 128

DOI

10.1007/978-3-031-25844-2_11

URL

https://link.springer.com/chapter/10.1007/978-3-031-25844-2_11

Book

Automation 2023: Key Challenges in Automation, Robotics and Measurement Techniques

Presented on

27th International Conference on Automation 2023, 7-8.03.2023, Warsaw, Poland

License type

other

Ministry points / chapter

20

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