no code implementations • 4 Mar 2020 • Jens Behley, Andres Milioto, Cyrill Stachniss
Panoptic segmentation is the recently introduced task that tackles semantic segmentation and instance segmentation jointly.
2 code implementations • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019 • Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss
Perception in autonomous vehicles is often carried out through a suite of different sensing modalities.
Ranked #19 on Robust 3D Semantic Segmentation on SemanticKITTI-C
no code implementations • 1 May 2019 • Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher
We count single berries in images to avoid the error-prone detection of grapevine clusters.
5 code implementations • ICCV 2019 • Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall
Despite the relevance of semantic scene understanding for this application, there is a lack of a large dataset for this task which is based on an automotive LiDAR.
Ranked #32 on 3D Semantic Segmentation on SemanticKITTI
no code implementations • 9 Jun 2018 • Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss
It outputs the stem location for weeds, which allows for mechanical treatments, and the covered area of the weed for selective spraying.
no code implementations • 9 Jun 2018 • Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss
Exploiting the crop arrangement information that is observable from the image sequences enables our system to robustly estimate a pixel-wise labeling of the images into crop and weed, i. e., a semantic segmentation.
no code implementations • 20 Mar 2018 • Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche
We show the detection and tracking results on sea level anomalies (SLA) data from the area of Australia and the East Australia current, and compare our two eddy detection and tracking approaches to identify the most robust and objective method.
2 code implementations • 25 Feb 2018 • Andres Milioto, Cyrill Stachniss
We provide an open-source codebase for training and deployment.
1 code implementation • 20 Sep 2017 • Andres Milioto, Philipp Lottes, Cyrill Stachniss
Precision farming robots, which target to reduce the amount of herbicides that need to be brought out in the fields, must have the ability to identify crops and weeds in real time to trigger weeding actions.