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
Read moreIn this page, the Authors K. Tateno, F. Tombari, I. Laina and N. Navab present the following paper in which CNNs are used
Read moreIn this post, Torsten Sattler presents his upcoming CVPR 2017 paper “Comparative Evaluation of Hand-Crafted and Learned Local Features” You
Read moreThis post explains why momentum works in optimization. Nice interactive images are used to this aim. Here you can find another
Read moreHorus is an Italian project. It’s one of those projects that makes you think I would love to join the
Read moreHandle is definitely a big Wow. From the youtube video description: “Handle is a research robot that stands 6.5 ft
Read moreMicheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to
Read moreIn this post, Alejo Concha Belenguer presents his new work RGBDTAM. This is a direct SLAM pipeline that runs in real-time and
Read moreA nice meka with the option to engage AR battles
Read moreThis post reports that a self-driving Uber car was involved in a high-speed crash in Tempe, Arizona. No one was
Read moreThis year, the TRADR review took place at the Scuola Di Formazione Operativa of Vigili del Fuoco (Italian Firefighters) in
Read moreThis 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
Read moreOur recent work with ETHZ was awarded Best Late Breaking Report at SSRR 2016 “3D Localization, Mapping and Path Planning for
Read moreUsing Microsoft HoloLens, 24,000+ service technicians of Thyssenkrupp will be able to visualize and identify problems with elevators ahead of
Read moreDrone maker DJI unveiled its latest flying camera: a foldable, portable, sub-$1,000 device dubbed the Mavic Pro. This seems to
Read moreFrom Google+, Davide Scaramuzza presents his last work on perception aware path planning for quadrotors. “I am happy to share
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