Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment. / Vicentini Carvalho, Emanuel Francisco; de Oliveira, Lucas Silva; dos Santos, Murillo Ferreira et al.
Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. Hrsg. / Andrzej Kot. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Vicentini Carvalho, EF, de Oliveira, LS, dos Santos, MF, Mercorelli, P & Gouveia, MC 2024, Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment. in A Kot (Hrsg.), Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024, Institute of Electrical and Electronics Engineers Inc., 25th International Carpathian Control Conference - ICCC 2024, Krynica Zdroj, Polen, 22.05.24. https://doi.org/10.1109/ICCC62069.2024.10569353

APA

Vicentini Carvalho, E. F., de Oliveira, L. S., dos Santos, M. F., Mercorelli, P., & Gouveia, M. C. (2024). Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment. In A. Kot (Hrsg.), Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024 (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCC62069.2024.10569353

Vancouver

Vicentini Carvalho EF, de Oliveira LS, dos Santos MF, Mercorelli P, Gouveia MC. Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment. in Kot A, Hrsg., Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024). doi: 10.1109/ICCC62069.2024.10569353

Bibtex

@inbook{b5a399dc402747cd9577b08c825d804e,
title = "Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment",
abstract = "Mining automation began in the 1960s to increase safety in underground mines. Today, robotic and autonomous systems perform specific mining activities, creating new opportunities and a more efficient and safe industry. This paper proposes a novel solution for instrumentation for autonomous trucks working in open-pit mines, specifically during the parking maneuver to load ore. In this case, new hardware and firmware are developed to compute the future coordinates of the excavator bucket using two Global Positioning Systems (GPS) receivers. In this approach, employing the concept of geometry and information from the GPS receivers, the future coordinates of the excavator bucket are calculated and made available to control the system, parking the autonomous truck in the desired position. The results demonstrate the accurate positioning of the off-highway truck during the ore-loading process, allowing for the correct execution of the truck{\textquoteright}s autonomous positioning maneuver.",
keywords = "Autonomous Trucks, Georeferencing Systems, Mining Applications, Engineering",
author = "{Vicentini Carvalho}, {Emanuel Francisco} and {de Oliveira}, {Lucas Silva} and {dos Santos}, {Murillo Ferreira} and Paolo Mercorelli and Gouveia, {Matheus Carvalho}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 25th International Carpathian Control Conference - ICCC 2024, ICCC 2024 ; Conference date: 22-05-2024 Through 24-05-2024",
year = "2024",
doi = "10.1109/ICCC62069.2024.10569353",
language = "English",
isbn = "979-8-3503-5071-5",
series = "Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Andrzej Kot",
booktitle = "Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024",
address = "United States",
url = "https://iccc.agh.edu.pl/#top",

}

RIS

TY - CHAP

T1 - Georeferencing System for Maneuvering of Autonomous Truck in Mining Environment

AU - Vicentini Carvalho, Emanuel Francisco

AU - de Oliveira, Lucas Silva

AU - dos Santos, Murillo Ferreira

AU - Mercorelli, Paolo

AU - Gouveia, Matheus Carvalho

N1 - Conference code: 25

PY - 2024

Y1 - 2024

N2 - Mining automation began in the 1960s to increase safety in underground mines. Today, robotic and autonomous systems perform specific mining activities, creating new opportunities and a more efficient and safe industry. This paper proposes a novel solution for instrumentation for autonomous trucks working in open-pit mines, specifically during the parking maneuver to load ore. In this case, new hardware and firmware are developed to compute the future coordinates of the excavator bucket using two Global Positioning Systems (GPS) receivers. In this approach, employing the concept of geometry and information from the GPS receivers, the future coordinates of the excavator bucket are calculated and made available to control the system, parking the autonomous truck in the desired position. The results demonstrate the accurate positioning of the off-highway truck during the ore-loading process, allowing for the correct execution of the truck’s autonomous positioning maneuver.

AB - Mining automation began in the 1960s to increase safety in underground mines. Today, robotic and autonomous systems perform specific mining activities, creating new opportunities and a more efficient and safe industry. This paper proposes a novel solution for instrumentation for autonomous trucks working in open-pit mines, specifically during the parking maneuver to load ore. In this case, new hardware and firmware are developed to compute the future coordinates of the excavator bucket using two Global Positioning Systems (GPS) receivers. In this approach, employing the concept of geometry and information from the GPS receivers, the future coordinates of the excavator bucket are calculated and made available to control the system, parking the autonomous truck in the desired position. The results demonstrate the accurate positioning of the off-highway truck during the ore-loading process, allowing for the correct execution of the truck’s autonomous positioning maneuver.

KW - Autonomous Trucks

KW - Georeferencing Systems

KW - Mining Applications

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85198546957&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/5006c703-df3f-3397-b248-1ba040d7ebc2/

U2 - 10.1109/ICCC62069.2024.10569353

DO - 10.1109/ICCC62069.2024.10569353

M3 - Article in conference proceedings

AN - SCOPUS:85198546957

SN - 979-8-3503-5071-5

T3 - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024

BT - Proceedings of the 2024 25th International Carpathian Control Conference, ICCC 2024

A2 - Kot, Andrzej

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th International Carpathian Control Conference - ICCC 2024

Y2 - 22 May 2024 through 24 May 2024

ER -

DOI

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