TrimBot2020

The big Trimbot group

TrimBot2020 mentioned on Horizon: the EU Research & Innovation magazine

The TrimBot2020 project was mentioned in an article on Horizon: the EU Research & Innovation magazine. Here an extract of the article, which you can read here. “It’s a similar story for the robotic hedge trimmer being developed by a separate group of researchers. All the farmer or groundskeeper needs to do is mark which hedge needs trimming. ‘The user will sketch the garden, though not too accurately,’ said Bob Fisher, computer vision scientist at Edinburgh University, UK, and coordinator…

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FlowNet 2.0 @CVPR 2017

FlowNet 2.0 is the first optical flow approach based on deep learning that reaches state-of-the-art accuracy. At the same time it is by a factor 100 faster than previous state-of-the-art techniques. This allows for reliable motion estimation at interactive frame rates. For more information visit the paper page.

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DeMoN @CVPR 2017

DeMoN is the very first work that formulates the problem of joint egomotion and depth estimation as a pure learning problem. Given two images from a single moving camera, DeMoN can estimate depth and camera motion at interactive frame rates. For more information, please visit the website.

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Twitter
RT @NatashaBertaud: “There is no lack of talent in #Europe, no lack of ideas. And Europe’s industry drives our economy.” - @JunckerEU’s fu…2 weeks
#EUfunded #H2020 Automatic trimming at #EUIndustryDay #robotics https://t.co/RLaSTucZ9I2 weeks
Come to visit us at our stand at the #EUIndustryDays 2019 @EU_H2020 #trimbot @EU_Commission https://t.co/KnNIHOaW732 weeks
TrimBot2020 Integrated Visual Representations (Milestone 4): https://t.co/Yit9qRQ90Y via @YouTube1 month
Join us at the #EUindustryday on 5th and 6th February! https://t.co/ggqPZKQkxV1 month