An IoT-based prototype of a driverless bulldozer

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

Recent developments in the field of Industry 4.0 have led to an increased interest in driverless mobile machinery. In industrial sectors such as agriculture, mining and construction, practitioners are demanding autonomous solutions to reduce
operational costs and enhance efficiency and reliability. This paper demonstrates an implementation of Internet of Things (IoT) technologies to control a driverless mobile machinery prototype. After reviewing the technologies available for the IoT, we integrate a cloud application, communication protocols and a wireless communication network to control a small-scale bulldozer from a remote workstation. This solution is affordable, open-source, easyto-install and scalable, providing a platform to implement in several industrial applications.
Original languageEnglish
Publication date2019
Number of pages6
DOIs
Publication statusPublished - 2019
Event15th International Conference on Distributed Computing in Sensor Systems - Santorini Island, Greece
Duration: 29 May 201931 May 2019
Conference number: 15

Conference

Conference15th International Conference on Distributed Computing in Sensor Systems
Number15
CountryGreece
CitySantorini Island
Period29/05/201931/05/2019

Bibliographical note

2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini Island, Greece, pp.291-296, DOI: 10.1109/DCOSS.2019.00068

Cite this

Carreras Guzman, N. H., Mezovari, A. G., & Yan, Y. (2019). An IoT-based prototype of a driverless bulldozer. Paper presented at 15th International Conference on Distributed Computing in Sensor Systems, Santorini Island, Greece. https://doi.org/10.1109/DCOSS.2019.00068
Carreras Guzman, Nelson Humberto ; Mezovari, Adam Gergo ; Yan, Ying. / An IoT-based prototype of a driverless bulldozer. Paper presented at 15th International Conference on Distributed Computing in Sensor Systems, Santorini Island, Greece.6 p.
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abstract = "Recent developments in the field of Industry 4.0 have led to an increased interest in driverless mobile machinery. In industrial sectors such as agriculture, mining and construction, practitioners are demanding autonomous solutions to reduceoperational costs and enhance efficiency and reliability. This paper demonstrates an implementation of Internet of Things (IoT) technologies to control a driverless mobile machinery prototype. After reviewing the technologies available for the IoT, we integrate a cloud application, communication protocols and a wireless communication network to control a small-scale bulldozer from a remote workstation. This solution is affordable, open-source, easyto-install and scalable, providing a platform to implement in several industrial applications.",
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note = "2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), Santorini Island, Greece, pp.291-296, DOI: 10.1109/DCOSS.2019.00068; 15th International Conference on Distributed Computing in Sensor Systems, DCOSS 2019 ; Conference date: 29-05-2019 Through 31-05-2019",
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Carreras Guzman, NH, Mezovari, AG & Yan, Y 2019, 'An IoT-based prototype of a driverless bulldozer' Paper presented at 15th International Conference on Distributed Computing in Sensor Systems, Santorini Island, Greece, 29/05/2019 - 31/05/2019, . https://doi.org/10.1109/DCOSS.2019.00068

An IoT-based prototype of a driverless bulldozer. / Carreras Guzman, Nelson Humberto; Mezovari, Adam Gergo; Yan, Ying.

2019. Paper presented at 15th International Conference on Distributed Computing in Sensor Systems, Santorini Island, Greece.

Research output: Contribution to conferencePaperResearchpeer-review

TY - CONF

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AU - Carreras Guzman, Nelson Humberto

AU - Mezovari, Adam Gergo

AU - Yan, Ying

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AB - Recent developments in the field of Industry 4.0 have led to an increased interest in driverless mobile machinery. In industrial sectors such as agriculture, mining and construction, practitioners are demanding autonomous solutions to reduceoperational costs and enhance efficiency and reliability. This paper demonstrates an implementation of Internet of Things (IoT) technologies to control a driverless mobile machinery prototype. After reviewing the technologies available for the IoT, we integrate a cloud application, communication protocols and a wireless communication network to control a small-scale bulldozer from a remote workstation. This solution is affordable, open-source, easyto-install and scalable, providing a platform to implement in several industrial applications.

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Carreras Guzman NH, Mezovari AG, Yan Y. An IoT-based prototype of a driverless bulldozer. 2019. Paper presented at 15th International Conference on Distributed Computing in Sensor Systems, Santorini Island, Greece. https://doi.org/10.1109/DCOSS.2019.00068