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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computer vision
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
This page presents the following paper in which CNNs are used to predict depth maps in a monocular SLAM pipeline.
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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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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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