When: Tuesday 15th of April, 2:00pm AEST
Where: This seminar will be partially presented at the ACFR seminar area, J04 lvl 2 (Rose St Building) and partially online via Zoom. RSVP
Speaker: Dr Alejandro Fontan
Title: VSLAM-LAB: A Comprehensive Framework for Visual SLAM Baselines and Datasets
Abstract:
Visual SLAM (Simultaneous Localization and Mapping) research is often hindered by fragmented toolchains, inconsistent evaluation protocols, and complex system setups. In this seminar, Dr. Alejandro Fontan will present VSLAM-LAB, a unified and extensible framework designed to streamline the development, benchmarking, and deployment of Visual SLAM systems. VSLAM-LAB simplifies the end-to-end SLAM pipeline—from automated dataset downloading and formatting to standardized experiment execution and trajectory evaluation—using a single command-line interface. The framework supports a wide array of state-of-the-art SLAM methods and datasets, enabling reproducible research and facilitating fair, comprehensive comparisons.
Find VSLAM-LAB here: https://github.com/alejandrofontan/VSLAM-LAB
Bio:
Dr Alejandro Fontan graduated from University of Zaragoza in 2017 with a Bachelor and Master of Industrial Engineering. Since July 2017 he did six months internship as a software engineer in Computer Vision at the Austrian company Wikitude GmbH that provides AR technology for smartphones, tablets and digital eyewear.
Dr Alejandro Fontan started a PhD in System Engineering and Programming in March 2018 at the University of Zaragoza (Advisor: Dr. Javier Civera) in full collaboration with the DLR German Aerospace Center (co-Advisor: Dr. Rudolph Triebel).
On September 1, 2022 Dr Alejandro Fontan joined the Queensland University of Technology as a research fellow. His research with supervisor Michael Milford will focus on developing better visual uncertainty models and applying Information Theory to Visual Odometry and SLAM systems, with the goal of boosting their accuracy and robustness and reducing their computational footprint.