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.
The data set for the 3D reconstruction challenge of the TrimBot 3DRMS workshop at ICCV2017 is available for download at the url https://gitlab.inf.ed.ac.uk/3DRMS/Challenge2017. Please find more information about the workshop here.
As a milestone of the TrimBot2020 project, we build a new mobile platform based on the Bosch lawn mower.
Let’s go in the garden, part #2. Watch Trimbot having fun in the test garden.
Let’s go in the garden. Watch Trimbot navigating in the garden in Wageningen.
Some pictures of the three days session of data recording that we had in Wageningen on September 20-22. The sun was shining on our test garden and on the Trimbot2020 project. You can find more pictures on our Facebook Page for: Data recoding – Day #1 Data recoding – Day #2 Data recoding – Day #3