PLVS code released
I 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 more
Luigi Freda
Robotics & Computer Vision Engineer, PhD
3D reconstruction
slamplay is ready!
If 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 more
My new pySLAM v2 is out!
I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,
Read more
PLVS for Circus Maximus Mixed-Reality Experience
If you are visiting Rome, now you can go to the Circus Maximus and enjoy a great Mixed-Reality experience. An
Read more
Visual Perception and Spatial Computing
On February 2019, I was the teacher of the course Visual Perception and Spatial Computing in the Advanced School of AI. This school
Read more
PLVS: An Open-Source RGB-D and Stereo SLAM for volumetric reconstruction and 3D incremental segmentation
I am working hard during my free time and having fun with PLVS to finalize the outcoming paper: PLVS: An
Read morePLVS: An open-source SLAM system with Points, Lines, Volumetric mapping and 3D incremental Segmentation
PLVS(*) is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and 3D unsupervised incremental segmentation. PLVS
Read more
@ Inglobe Technologies
From May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine
Read more
TRADR Techday 2017
On November 17 2017, I was a member of the crew who organized the TRADR Technology Day. More than 60
Read more
Fourth TRADR Evaluation Exercise in Rotterdam with GB Firefighters
From November 6th to November 17th, I took part to the fourth TRADR Evaluation Exercise in Rotterdam. The full TRADR system was evaluated by the GB firefighters end-users
Read more
TRADR on EuroNews
The TRADR EU project is on Euronews. The video report shows the simulated disaster scene we used in the last
Read more
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
In this page, the Authors K. Tateno, F. Tombari, I. Laina and N. Navab present the following paper in which CNNs are used
Read more
Hand-Crafted Features or Learned Local Features?
In this post, Torsten Sattler presents his upcoming CVPR 2017 paper “Comparative Evaluation of Hand-Crafted and Learned Local Features”
Read more
RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System
In this post, Alejo Concha Belenguer presents his new work RGBDTAM. This is a direct SLAM pipeline that runs in real-time and
Read more
TRADR Year 3 Review in Montelibretti – Work Package 4 Obtained an Excellent Evaluation
This year, the TRADR review took place at the Scuola Di Formazione Operativa of Vigili del Fuoco (Italian Firefighters) in
Read more