Probing the 3D Awareness of Visual Foundation Models
As visual foundation models increasingly find their way into SLAM and 3D reconstruction pipelines, an important question arises: are these
Read moreRobotics & Computer Vision Engineer, PhD
As visual foundation models increasingly find their way into SLAM and 3D reconstruction pipelines, an important question arises: are these
Read moreI’m happy to share pySLAM v2.10.0 🎉 🔗 https://github.com/luigifreda/pyslam This is a major update that moves the project forward on
Read moreThis is a great talk describing our next future. From the TED page of the talk: Picture this: you’re wearing
Read moreExcited to share Prof. Michael Milford’s post about the upcoming “Unifying Visual SLAM: From Fragmented Datasets to Scalable, Real-World Solutions”
Read more🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
Read moreI am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
Read moreI am happy to release the code of my project PLVS. PLVS is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and
Read moreIf you love to play with SLAM like me, I shared slamplay on github: https://github.com/luigifreda/slamplay. slamplay is a collection of powerful
Read moreI am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
Read moreI’m very pleased to serve as a member of the Program Committee of the IRMAS – Intelligent Robotics and Multi-Agent
Read moreOn February 2019, I was the teacher of the course Visual Perception and Spatial Computing in the Advanced School of AI. This school
Read moreI am very excited to release the paper 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy (just appeared in Autonomous Robots) and
Read moreI am working hard during my free time and having fun with PLVS to finalize the outcoming paper: PLVS: An
Read morePLVS(*) is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and 3D unsupervised incremental segmentation. PLVS
Read moreFrom May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine
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