The next computer? Your glasses
This is a great talk describing our next future. From the TED page of the talk: Picture this: you’re wearing
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Luigi Freda
Robotics & Computer Vision Engineer, PhD
Posts
A new release of pySLAM is here. Loop-closing, volumetric integration, depth prediction and more improvements.
🎉 pySLAM v2.2.5 is here! This new release includes a visual SLAM pipeline for monocular, stereo, and RGBD cameras with:
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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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ROSIntegration for Unreal Engine 4.23
code: https://github.com/luigifreda/ROSIntegration (fork) new: now this fork has been merged into the original repo https://github.com/code-iai/ROSIntegration I recently succeeded in porting the ROSIntegration
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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
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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
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3Dpatrolling – 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy
I am very excited to release the paper 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy (just appeared in Autonomous Robots) and
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Hottest Deep Learning Frameworks 2018
In this very nice article, Jeff compares all the hottest deep learning frameworks that are used in the Academic and
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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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Optimization – why momentum really works
This post explains why momentum works in optimization. Nice interactive images are used to this aim. Here you can find another
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