Our work ‘MAD-BA: 3D LiDAR Bundle Adjustment — from Uncertainty Modelling to Structure Optimization’ accepted for RA-L
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Our work ‘Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping’ accepted for ICCV 2025
Published:
portfolio
publications
Visual place recognition using LiDAR intensity information
Published in IEEE International Conference on Intelligent Robots and Systems (IROS), 2021
Luca Di Giammarino, Irvin Aloise, Cyrill Stachniss, Giorgio Grisetti
HiPE: Hierarchical Initialization for Pose Graphs
Published in IEEE Robotics and Automation Letters (RA-L), 2021
Tiziano Guadagnino, Luca Di Giammarino, Giorgio Grisetti
MD-SLAM: Multi-cue Direct SLAM
Published in IEEE International Conference on Intelligent Robots and Systems (IROS), 2022
Luca Di Giammarino, Leonardo Brizi, Tiziano Guadagnino, Cyrill Stachniss, Giorgio Grisetti
Low Frequency Spinning LiDAR De-Skewing
Published in arXiv, 2023
Omar Salem, Emanuele Giacomini, Leonardo Brizi, Luca Di Giammarino, Giorgio Grisetti
Photometric LiDAR and RGB-D Bundle Adjustment
Published in RA-L, 2023
Luca Di Giammarino, Emanuele Giacomini, Leonardo Brizi, Omar Salem, Giorgio Grisetti
Ca2Lib: Simple and Accurate LiDAR-RGB Calibration using Small Common Markers
Published in Sensors, 2023
Emanuele Giacomini, Leonardo Brizi, Luca Di Giammarino, Omar Salem, Giorgio Grisetti
VBR: a vision benchmark in Rome
Published in IEEE International Conference on Robotics and Automation (ICRA), 2024
Leonardo Brizi, Emanuele Giacomini, Luca Di Giammarino, Simone Ferrari, Omar Salem, Lorenzo De Rebotti, Giorgio Grisetti
MAD-ICP: It Is All About Matching Data–Robust and Informed LiDAR Odometry
Published in IEEE Robotics and Automation Letters (RA-L), 2024
Simone Ferrari, Luca Di Giammarino, Leonardo Brizi, Giorgio Grisetti
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
Published in European Conference on Computer Vision (ECCV), 2024
Luca Di Giammarino, Boyang Sun, Giorgio Grisetti, Marc Pollefeys, Hermann Blum, Daniel Barath
MAD-BA: 3D LiDAR Bundle Adjustment — from Uncertainty Modelling to Structure Optimization
Published in IEEE Robotics and Automation Letters (RA-L), 2025
Krzysztof Ćwian, Luca Di Giammarino, Simone Ferrari, Thomas Ciarfuglia, Giorgio Grisetti, Piotr Skrzypczyński
Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
Published in IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Emanuele Giacomini, Luca Di Giammarino, Lorenzo De Rebotti, Giorgio Grisetti, Martin R. Oswald
ActLoc: Learning to Localize on the Move via Active Viewpoint Selection
Published in Conference on Robot Learning (CoRL), 2025
Jiajie Li, Boyang Sun, Luca Di Giammarino, Hermann Blum, Marc Pollefeys
studentprojects
talks
teaching
Robot Programming
Lecture for Artificial Intelligence and Robotics master students, Sapienza University, 2021
Organization and execution of exercises, around 80 students. Course website
Probabilistic Robotics
Lecture for Artificial Intelligence and Robotics, Control Engineering master students, Sapienza University, 2022
Organization and execution of exercises, around 40 students. Course website