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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Luigi Freda
Robotics & Computer Vision Engineer, PhD
machine learning
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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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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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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@ Inglobe Technologies
From May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine
Read moreMetodi Quantitativi per l’Informatica a.a. 2016
An Introduction to Machine Learning Below, you can find the original timetable of the course “Metodi Quantitativi per l’Informatica” (Introduction
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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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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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Do we need self-driving cars?
This post reports that a self-driving Uber car was involved in a high-speed crash in Tempe, Arizona. No one was
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Bias and variance tradeoff
This very nice post clearly explains the bias and variance tradeoff http://www.learnopencv.com/bias-variance-tradeoff-in-machine-learning/ This tradeoff can be mathematically stated by the
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The Going Rate for Self-driving Talent is $10 million per Person, word of Sebastian Thrun
According to this post, Sebastian Thrun said “Uber has just bought a half-a-year-old company [Otto] with 70 employees for almost $700
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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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