233 citations · 234 across the 3 of their papers we have counts for
9 papers
OverlapNet: Loop Closing for LiDAR-based SLAM
Xieyuanli Chen, Thomas Läbe, Andres Milioto +5
Simultaneous localization and mapping (SLAM) is a fundamental capability required by most autonomous systems. In this paper, we address the problem of loop closing for SLAM based o…
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
Jens Behley, Andres Milioto, Cyrill Stachniss
Panoptic segmentation is the recently introduced task that tackles semantic segmentation and instance segmentation jointly. In this paper, we present an extension of SemanticKITTI,…
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks
Laura Zabawa, Anna Kicherer, Lasse Klingbeil +4
Yield estimation and forecasting are of special interest in the field of grapevine breeding and viticulture. The number of harvested berries per plant is strongly correlated with t…
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
Jens Behley, Martin Garbade, Andres Milioto +4
Semantic scene understanding is important for various applications. In particular, self-driving cars need a fine-grained understanding of the surfaces and objects in their vicinity…
Geometrical Stem Detection from Image Data for Precision Agriculture
F. Langer, L. Mandtler, A. Milioto +2
High efficiency in precision farming depends on accurate tools to perform weed detection and mapping of crops. This allows for precise removal of harmful weeds with a lower amount…
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming
Philipp Lottes, Jens Behley, Nived Chebrolu +2
Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat ev…