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PhD (Queensland University of Technology)
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
Additional information
- Hele, M., Warfield, A., Gonzalez, F., Amarasingam, N. & Vanegas, 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