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
visual localization
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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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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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 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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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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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
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Microsoft HoloLens brings New Vision to Elevator Maintenance of Thyssenkrupp
Using Microsoft HoloLens, 24,000+ service technicians of Thyssenkrupp will be able to visualize and identify problems with elevators ahead of
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ElasticFusion – Real-time Light Source Detection
A new journal paper about ElasticFusion has come out from Davison’s group. New exciting results on 3D light source mapping are presented.
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Direct Sparse Odometry
A new exciting work from the Computer Vision Group of TUM. “DSO is a novel direct and sparse formulation for
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Event Camera SLAM
The slamcore start-up is pioneering breaktrough new algorithms for accurate and robust real-time event camera motion tracking and scene reconstruction
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High-Performance and Tunable Stereo Reconstruction
In this work, Researchers of MIT present an high-performance and tunable stereo disparity estimation method. It succeeds to reach a
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Active Volumetric 3D Reconstruction
A new open-source library has been released by the Robotics and Perception Group of Davide Scaramuzza. Technical details of the
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Google New Plan: Map the Interior World in 3-D
Everyone knows about Google Map and use it. But now the internet giant has a bigger target: it wants to digitally map
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