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Posts by Collection
portfolio
publications
A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments
👨🏻🏫 Published in 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO), 2024
📝 A modular multimodal tracking-by-detection system for autonomous mobile robots that fuses 3D point-cloud (PointPillars + AB3DMOT) and 2D (YOLOv8) detectors to improve multi-object detection and tracking robustness — validated on KITTI.
Recommended citation: Borges, E., Garrote, L., Nunes, U. J. (2024). "A Modular Multimodal Multi-Object Tracking-by-Detection Approach, with Applications in Outdoor and Indoor Environments." In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024) - Volume 2
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Safer and Trustworthier Navigation of Automated Vehicles
👨🏻🏫 Published in 25th International Conference on Control Systems and Computer Science (CSCS), 2025
📝 A framework for safer and more trustworthy automated driving that combines robust object detection under adverse weather, risk-aware trajectory planning in camera networks, and template-based natural-language explanations for navigation decisions.
Recommended citation: M. Aleksandrov, K. Yordanova, E. Borges, D. Soares, T. Barros and C. Premebida (2025). "Safer and Trustworthier Navigation of Automated Vehicles." 25th International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 2025, pp. 183-189, doi: 10.1109/CSCS66924.2025.00035.
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DepthTriFusion: A Three-Stream RGB-LiDAR-Normal Pipeline for Depth Estimation
👨🏻🏫 Published in 24th International Conference on Robotics, Automation and Mobile Robotics (ROBOT), 2025
📝 A three-stream multimodal depth estimation architecture that fuses RGB, LiDAR and surface normals to deliver more accurate and structurally consistent depth maps for autonomous mobile robots.
Recommended citation: M. Abreu, E. Borges, L. Garrote, A. Mendes and U. J. Nunes (2025). "DepthTriFusion: A Three-Stream RGB–LiDAR–Normal Pipeline for Depth Estimation." 24th International Conference on Robotics, Automation and Mobile Robotics (ROBOT), 2025.
The Impact of Loss Functions and Architectures in Object Re-Identification: A Comparative Study
👨🏻🏫 Published in 24th International Conference on Robotics, Automation and Mobile Robotics (ROBOT), 2025
📝 A comprehensive evaluation of loss functions and backbone architectures for RGB and depth-based object re-identification on the KITTI-ReID dataset, highlighting the strengths of transformer models and contrastive losses for robust MOT pipelines.
Recommended citation: L. Garrote, E. Borges, A. Mendes and U. J. Nunes (2025). "The Impact of Loss Functions and Architectures in Object Re-Identification: A Comparative Study." 24th International Conference on Robotics, Automation and Mobile Robotics (ROBOT), 2025.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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