Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation. - Peter Regier; Andres Milioto; Philipp Karkowski; Cyrill Stachniss; Maren Bennewitz (Humanoids, 2018)

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. - Andres Milioto; Philipp Lottes; Cyrill Stachniss (ICRA, 2018)

Ocean Eddy Identification and Tracking Using Neural Networks. - Katharina Franz; Ribana Roscher; Andres Milioto; Susanne Wenzel; Jürgen Kusche (IGARSS, 2018)

Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (IROS, 2018)

Geometrical Stem Detection from Image Data for Precision Agriculture. - Ferdinand Langer; Leonard P. Mandtler; Andres Milioto; Emanuele Palazzolo; Cyrill Stachniss (CoRR, 2018)

Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. - Philipp Lottes; Jens Behley; Andres Milioto; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2018)

Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. - Laura Zabawa; Anna Kicherer; Lasse Klingbeil; Andres Milioto; Reinhard Töpfer; Heiner Kuhlmann; Ribana Roscher (CVPR Workshops, 2019)

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Cyrill Stachniss; Jürgen Gall (ICCV, 2019)

Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics. - Andres Milioto; Leonard P. Mandtler; Cyrill Stachniss (ICRA, 2019)

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. - Andres Milioto; Cyrill Stachniss (ICRA, 2019)

SuMa++: Efficient LiDAR-based Semantic SLAM. - Xieyuanli Chen; Andres Milioto; Emanuele Palazzolo; Philippe Giguère; Jens Behley; Cyrill Stachniss (IROS, 2019)

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. - Andres Milioto; Ignacio Vizzo; Jens Behley; Cyrill Stachniss (IROS, 2019)

A Dataset for Semantic Segmentation of Point Cloud Sequences. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Cyrill Stachniss; Juergen Gall (CoRR, 2019)

Building an Aerial-Ground Robotics System for Precision Farming. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (CoRR, 2019)

Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. - Rasha Sheikh; Andres Milioto; Philipp Lottes; Cyrill Stachniss; Maren Bennewitz; Thomas Schultz 001 (ICRA, 2020)

Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. - Ferdinand Langer; Andres Milioto; Alexandre Haag; Jens Behley; Cyrill Stachniss (IROS, 2020)

LiDAR Panoptic Segmentation for Autonomous Driving. - Andres Milioto; Jens Behley; Chris McCool; Cyrill Stachniss (IROS, 2020)

OverlapNet: Loop Closing for LiDAR-based SLAM. - Xieyuanli Chen; Thomas Läbe; Andres Milioto; Timo Röhling; Olga Vysotska; Alexandre Haag; Jens Behley; Cyrill Stachniss (Robotics: Science and Systems, 2020)

Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments. - Peter Regier; Andres Milioto; Cyrill Stachniss; Maren Bennewitz (Int. J. Humanoid Robotics, 2020)

Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. - Philipp Lottes; Jens Behley; Nived Chebrolu; Andres Milioto; Cyrill Stachniss (J. Field Robotics, 2020)

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. - Jens Behley; Andres Milioto; Cyrill Stachniss (ICRA, 2021)

Improving Monocular Depth Estimation by Semantic Pre-training. - Peter Rottmann; Thorbjörn Posewsky; Andres Milioto; Cyrill Stachniss; Jens Behley (IROS, 2021)

Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. - Jens Behley; Martin Garbade; Andres Milioto; Jan Quenzel; Sven Behnke; Jürgen Gall; Cyrill Stachniss (Int. J. Robotics Res., 2021)

Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. - Jan Weyler; Andres Milioto; Tillmann Falck; Jens Behley; Cyrill Stachniss (IEEE Robotics Autom. Lett., 2021)

Deep Compression for Dense Point Cloud Maps. - Louis Wiesmann; Andres Milioto; Xieyuanli Chen; Cyrill Stachniss; Jens Behley (IEEE Robotics Autom. Lett., 2021)

Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. - Alberto Pretto; Stéphanie Aravecchia; Wolfram Burgard; Nived Chebrolu; Christian Dornhege; Tillmann Falck; Freya Veronika Fleckenstein; Alessandra Fontenla; Marco Imperoli; Raghav Khanna; Frank Liebisch; Philipp Lottes; et al. (IEEE Robotics Autom. Mag., 2021)

Efficient Semantic Scene Understanding for Mobile Robots. - Andres Milioto (2021)

OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization. - Xieyuanli Chen; Thomas Läbe; Andres Milioto; Timo Röhling; Jens Behley; Cyrill Stachniss (Auton. Robots, 2022)