3D Reconstruction meets Semantics – Reconstruction Challenge


Part of the workshop is a challenge on combining 3D and semantic information in complex scenes. To this end, a challenging outdoor dataset, captured by a robot driving through a semantically-rich garden that contains fine geometric details, will be released. A multi-camera rig is mounted on top of the robot, enabling the use of both stereo and motion stereo information. Precise ground truth for the 3D structure of the garden has been obtained with a laser scanner and accurate pose estimates for the robot are available as well. Ground truth semantic labels and ground truth depth from a laser scan will be used for benchmarking the quality of the 3D reconstructions, the quality of semantic segmentation, and the quality of semantically annotated 3D models.

Data & Submission

We are currently preparing the data and hope to release it soon. If you want to be informed per email when the data is available, please contact torsten.sattler at inf.ethz.ch.

The #robotic arm of #TrimBot2020 was at the Vision, Robotics & Motion 2017 fair in Veldhoven (NL) #garden #trimming… https://t.co/UITE9R48vY1 week
Very nice social time in the last project meeting :) https://t.co/cQIm7fAsWJ1 month
@iLearnROBOTICS1 :) cool things and innovation are going on!1 month
RT @EU_H2020: #FF #H2020 @W1TD0M @project_thor_eu @CarismaEU @GLAMprojectEU @INSPEC2T @PEGASUS_eu @AlionProject @NobelGrid @Triangulum_EU…1 month
RT @dashdashbang: We just mounted the robot arm onto @trimbot2020 for the first time :) Ready to go! @WUR @farmtechnology @saga_exp https:/…1 month