TRADR Techday 2017
On November 17 2017, I was a member of the crew who organized the TRADR Technology Day. More than 60
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computer vision
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” You
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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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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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Mekamon and AR battles
A nice meka with the option to engage AR battles
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Best Late Breaking Report at SSRR 2016
Our recent work with ETHZ was awarded Best Late Breaking Report at SSRR 2016 “3D Localization, Mapping and Path Planning for
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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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Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing
From Google+, Davide Scaramuzza presents his last work on perception aware path planning for quadrotors. “I am happy to share
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A Self-Driving Fleet Arrives in Pittsburgh This Month – Uber Steps on the Accelerator
Uber is definitely stepping on the accelerator… “Starting later this month, Uber will allow customers in downtown Pittsburgh to summon
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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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Hierarchical Progressive Multiview Stereo
Progressive multiview stero is an implementation of an algorihm taking a sparse 3D model (result of structure from motion software)
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