pyslam v2.1 is available
I am happy to share the new version of pyslam: v2.1. It comes with new improvements and the following new
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Luigi Freda
Robotics & Computer Vision Engineer, PhD
perception
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
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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
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3DMR – 3D Multi-Robot Exploration with a Two-Level Coordination Strategy and Prioritization
Check out the new 3DMR project on 3D multi-robot exploration in collaboration with Prof. Rui Rocha, David Portugal, and Tiago
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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,
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Member of the Program Committee of SAC 2020-IRMAS Track
I’m very pleased to serve as a member of the Program Committee of the IRMAS – Intelligent Robotics and Multi-Agent
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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
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@ Inglobe Technologies
From May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine
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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
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TRADR on EuroNews
The TRADR EU project is on Euronews. The video report shows the simulated disaster scene we used in the last
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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
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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”
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Handle – the new creature of Boston Dynamics
Handle is definitely a big Wow. From the youtube video description: “Handle is a research robot that stands 6.5 ft
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Driverless cars that ‘see’ the road ahead
Micheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
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