QUT - Academic profiles - Dr Fernando Vanegas Alvarez

Fernando Vanegas is a Lecturer at the School of Electrical Engineering and Robotics of the Queensland University of Technology. He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy and Drone-based remote sensing. He has led the development of frameworks for planning UAV missions in GNSS-denied environments using reinforcement learning and optimal sequential decision-making. His current research interests include motion planning for UAV exploration in GPS-denied and cluttered environments, POMDP, SLAM and Visual Odometry, and AI-assisted Remote Sensing

+61 7 3138 4593

f.vanegasalvarez@qut.edu.au

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Centre for Robotics

Personal details

Positions

Research Fellow
Faculty of Engineering,
School of Electrical Engineering & Robotics

Research field

Aerospace engineering, Artificial intelligence, Control engineering, mechatronics and robotics

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020

Qualifications

PhD (Queensland University of Technology)

Teaching

EGH419 Advanced Design and Entrepreneurship

EGH455 Advanced Systems Design

EGB349 Systems Engineering and Design Project

EGH450 Advanced Unmanned Aircraft Systems

Publications

Research outputs by year

Book
Chapter in Book / Report / Conference Proceeding
Contribution to a Journal

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3 new publications in 2016

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1 new publication in 2017

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5 new publications in 2018

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2 new publications in 2019

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9 new publications in 2020

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3 new publications in 2021

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8 new publications in 2022

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6 new publications in 2023

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6 new publications in 20242016201720182019202020212022202320240246810201620172018201920202021202220232024

Amarasingam, N., Vanegas, F., Hele, M., Warfield, A. & Gonzalez, F. (2024). Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments. Remote Sensing, 16(9). https://eprints.qut.edu.au/248651
Debnath, D., Vanegas, F., Boiteau, S. & Gonzalez, F. (2024). An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning. Drones, 8(7). https://eprints.qut.edu.au/251261
Debnath, D., Vanegas Alvarez, F., Sandino, J., Hawary, A. & Gonzalez, L. (2024). A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications. Remote Sensing, 16(21). https://eprints.qut.edu.au/253333
Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments. Remote Sensing, 16(3). https://eprints.qut.edu.au/247033
Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). A Comprehensive Framework for UAV-Based Autonomous Target Finding in Environments with Limited Global Navigation Satellite Systems and Reduced Visibility. Proceedings of the 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 160–167. https://eprints.qut.edu.au/250707
Vanegas Alvarez, F., Bratanov, D., Powell, K., Weiss, J. & Gonzalez, F. (2018). A novel methodology for improving plant pest surveillance in vineyards and crops using UAV-based hyperspectral and spatial data. Sensors, 18(1), 1–21. https://eprints.qut.edu.au/223581
Boiteau, S., Vanegas, F., Sandino, J., Gonzalez, F. & Galvez-Serna, J. (2023). Autonomous UAV Navigation for Target Detection in Visually Degraded and GPS Denied Environments. Proceedings of the 2023 IEEE Aerospace Conference. https://eprints.qut.edu.au/240525
Amarasingam, N., Hele, M., Vanegas Alvarez, F., Warfield, A., Trotter, P., Burgos Granados, R. & Gonzalez, L. (2023). Broad-Leaved Pepper and Pandanus Classification and Mapping Using Drone Imagery - Proof of Concept Trial. Proceedings of the 2nd Pest Animal and Weed Symposium 2023 (PAWS 2023), 196–208. https://eprints.qut.edu.au/245476
Sandino, J., Vanegas Alvarez, F., Maire, F., Caccetta, P., Sanderson, C. & Gonzalez, L. (2020). UAV framework for autonomous onboard navigation and people/object detection in cluttered indoor environments. Remote Sensing, 12(20). https://eprints.qut.edu.au/205546
Walker, V., Vanegas, F. & Gonzalez, F. (2023). Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments. Remote Sensing, 15(15). https://eprints.qut.edu.au/242489

QUT ePrints

For more publications by Fernando, explore their research in QUT ePrints (our digital repository).

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2024

Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). Framework for Autonomous UAV Navigation and Target Detection in Global-Navigation-Satellite-System-Denied and Visually Degraded Environments. Remote Sensing, Article 471, 16(3). https://eprints.qut.edu.au/247033
Amarasingam, N., Vanegas, F., Hele, M., Warfield, A. & Gonzalez, F. (2024). Integrating Artificial Intelligence and UAV-Acquired Multispectral Imagery for the Mapping of Invasive Plant Species in Complex Natural Environments. Remote Sensing, Article 1582, 16(9). https://eprints.qut.edu.au/248651
Boiteau, S., Vanegas, F. & Gonzalez, F. (2024). A Comprehensive Framework for UAV-Based Autonomous Target Finding in Environments with Limited Global Navigation Satellite Systems and Reduced Visibility. Proceedings of the 2024 International Conference on Unmanned Aircraft Systems (ICUAS), 160–167. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/250707
Uthayasooriyan, A., Vanegas, F., Jalali, A., Digumarti, K. M., Janabi-Sharifi, F. & Gonzalez, F. (2024). Tendon-Driven Continuum Robots for Aerial Manipulation - A Survey of Fabrication Methods. Drones, 8(6). https://eprints.qut.edu.au/250768
Debnath, D., Vanegas, F., Boiteau, S. & Gonzalez, F. (2024). An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning. Drones, Article 302, 8(7). https://eprints.qut.edu.au/251261
Debnath, D., Vanegas Alvarez, F., Sandino, J., Hawary, A. F. & Gonzalez, L. F. (2024). A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications. Remote Sensing, 16(21). https://eprints.qut.edu.au/253333

2023

Galvez Serna, J., Ly, N., Furlan, F., Zepeda, V., Vanegas Alvarez, F., Flannery, D. & Gonzalez, L. F. (2023). Towards a Biosignatures Image Detection System for Planetary Exploration with UAVs. Proceedings of the 2023 IEEE Aerospace Conference, Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/237595
Boiteau, S., Vanegas, F., Sandino, J., Gonzalez, F. & Galvez-Serna, J. (2023). Autonomous UAV Navigation for Target Detection in Visually Degraded and GPS Denied Environments. Proceedings of the 2023 IEEE Aerospace Conference, Institute of Electrical and Electronics Engineers (IEEE). https://eprints.qut.edu.au/240525
Gray, A. G., Gonzalez, F., Vanegas, F., Galvez-Serna, J. & Morton, K. (2023). Design and Flight Testing of a UAV with a Robotic Arm. Proceedings of the 2023 IEEE Aerospace Conference, Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/240526
Walker, V., Vanegas, F. & Gonzalez, F. (2023). Multi-UAV Mapping and Target Finding in Large, Complex, Partially Observable Environments. Remote Sensing, Article 3802, 15(15). https://eprints.qut.edu.au/242489
Debnath, D., Hawary, A. F., Ramdan, M. I., Alvarez, F. V. & Gonzalez, F. (2023). QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS. Drones, Article 678, 7(11). https://eprints.qut.edu.au/245125
Amarasingam, N., Hele, M., Vanegas Alvarez, F., Warfield, A., Trotter, P., Burgos Granados, R. & Gonzalez, L. F. (2023). Broad-Leaved Pepper and Pandanus Classification and Mapping Using Drone Imagery - Proof of Concept Trial. Proceedings of the 2nd Pest Animal and Weed Symposium 2023 (PAWS 2023), 196–208. Invasive Species Queensland. https://eprints.qut.edu.au/245476

2022

Zhu, X., Vanegas Alvarez, F. & Gonzalez, L. F. (2022). Decentralised Multi-UAV Cooperative Searching Multi-Target in Cluttered and GPS-Denied Environments. Proceedings of the 2022 IEEE Aerospace Conference (AERO), Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/226555
Mandel, N., Sandino, J., Galvez Serna, J., Vanegas Alvarez, F., Milford, M. & Gonzalez, L. F. (2022). Resolution-adaptive Quadtrees for Semantic Segmentation Mapping in UAV Applications. Proceedings of the 2022 IEEE Aerospace Conference (AERO), 1–17. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/226554
Galvez-Serna, J., Mandel, N., Sandino, J., Vanegas Alvarez, F., Ly, N., Flannery, D. & Gonzalez, L. F. (2022). Real-time Segmentation of Desiccation Cracks onboard UAVs for Planetary Exploration. Proceedings of the 2022 IEEE Aerospace Conference (AERO), 1–12. Institute of Electrical and Electronics Engineers Inc.. https://eprints.qut.edu.au/226553

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/f.vanegasalvarez

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Investigation of a Low-Cost Coaxial Helicopter Testbed for Planetary Remote Sensing (2022)

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Dr Fernando Vanegas Alvarez

Biography

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