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ORCIDAndres Milioto
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2020 – today
- 2022
[j8]Xieyuanli Chen
, Thomas Läbe, Andres Milioto, Timo Röhling, Jens Behley, Cyrill Stachniss:
OverlapNet: a siamese network for computing LiDAR scan similarity with applications to loop closing and localization. Auton. Robots 46(1): 61-81 (2022)- 2021
- [b1]Andres Milioto:
Efficient Semantic Scene Understanding for Mobile Robots. University of Bonn, Germany, 2021 - [j7]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Jürgen Gall, Cyrill Stachniss:
Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset. Int. J. Robotics Res. 40(8-9) (2021) - [j6]Louis Wiesmann, Andres Milioto, Xieyuanli Chen, Cyrill Stachniss, Jens Behley:
Deep Compression for Dense Point Cloud Maps. IEEE Robotics Autom. Lett. 6(2): 2060-2067 (2021) - [j5]Jan Weyler, Andres Milioto, Tillmann Falck, Jens Behley, Cyrill Stachniss:
Joint Plant Instance Detection and Leaf Count Estimation for In-Field Plant Phenotyping. IEEE Robotics Autom. Lett. 6(2): 3599-3606 (2021) - [j4]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, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 28(3): 29-49 (2021) - [c16]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. ICRA 2021: 13596-13603 - [c15]Peter Rottmann, Thorbjörn Posewsky, Andres Milioto, Cyrill Stachniss, Jens Behley:
Improving Monocular Depth Estimation by Semantic Pre-training. IROS 2021: 5916-5923 - [i12]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. CoRR abs/2105.11320 (2021) - [i11]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. CoRR abs/2105.11344 (2021) - 2020
- [j3]Peter Regier, Andres Milioto, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Class Information for Humanoid Navigation Through Cluttered Environments. Int. J. Humanoid Robotics 17(2): 2050013:1-2050013:26 (2020) - [j2]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. J. Field Robotics 37(1): 20-34 (2020) - [c14]Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz:
Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA 2020: 1350-1356 - [c13]Ferdinand Langer, Andres Milioto, Alexandre Haag, Jens Behley, Cyrill Stachniss:
Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks. IROS 2020: 8263-8270 - [c12]Andres Milioto, Jens Behley, Chris McCool, Cyrill Stachniss:
LiDAR Panoptic Segmentation for Autonomous Driving. IROS 2020: 8505-8512 - [c11]Xieyuanli Chen, Thomas Läbe, Andres Milioto, Timo Röhling, Olga Vysotska, Alexandre Haag, Jens Behley, Cyrill Stachniss:
OverlapNet: Loop Closing for LiDAR-based SLAM. Robotics: Science and Systems 2020 - [i10]Jens Behley, Andres Milioto, Cyrill Stachniss:
A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. CoRR abs/2003.02371 (2020)
2010 – 2019
- 2019
- [c10]Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher:
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CVPR Workshops 2019: 2571-2579 - [c9]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Jürgen Gall:
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences. ICCV 2019: 9296-9306 - [c8]Andres Milioto, Leonard P. Mandtler, Cyrill Stachniss:
Fast Instance and Semantic Segmentation Exploiting Local Connectivity, Metric Learning, and One-Shot Detection for Robotics. ICRA 2019: 5481-5487 - [c7]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. ICRA 2019: 7094-7100 - [c6]Andres Milioto, Ignacio Vizzo, Jens Behley, Cyrill Stachniss:
RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation. IROS 2019: 4213-4220 - [c5]Xieyuanli Chen, Andres Milioto, Emanuele Palazzolo, Philippe Giguère, Jens Behley, Cyrill Stachniss:
SuMa++: Efficient LiDAR-based Semantic SLAM. IROS 2019: 4530-4537 - [i9]Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, Juergen Gall:
A Dataset for Semantic Segmentation of Point Cloud Sequences. CoRR abs/1904.01416 (2019) - [i8]Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Andres Milioto, Reinhard Töpfer, Heiner Kuhlmann, Ribana Roscher:
Detection of Single Grapevine Berries in Images Using Fully Convolutional Neural Networks. CoRR abs/1905.00458 (2019) - [i7]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. CoRR abs/1911.03098 (2019) - 2018
- [j1]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. IEEE Robotics Autom. Lett. 3(4): 2870-2877 (2018) - [c4]Peter Regier, Andres Milioto, Philipp Karkowski, Cyrill Stachniss, Maren Bennewitz:
Classifying Obstacles and Exploiting Knowledge About Classes for Efficient Humanoid Navigation. Humanoids 2018: 820-826 - [c3]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. ICRA 2018: 2229-2235 - [c2]Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche:
Ocean Eddy Identification and Tracking Using Neural Networks. IGARSS 2018: 6887-6890 - [c1]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. IROS 2018: 8233-8238 - [i6]Andres Milioto, Cyrill Stachniss:
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics using CNNs. CoRR abs/1802.08960 (2018) - [i5]Katharina Franz, Ribana Roscher, Andres Milioto, Susanne Wenzel, Jürgen Kusche:
Ocean Eddy Identification and Tracking using Neural Networks. CoRR abs/1803.07436 (2018) - [i4]Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss:
Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming. CoRR abs/1806.03412 (2018) - [i3]Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss:
Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming. CoRR abs/1806.03413 (2018) - [i2]Ferdinand Langer, Leonard P. Mandtler, Andres Milioto, Emanuele Palazzolo, Cyrill Stachniss:
Geometrical Stem Detection from Image Data for Precision Agriculture. CoRR abs/1812.05415 (2018) - 2017
- [i1]Andres Milioto, Philipp Lottes, Cyrill Stachniss:
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. CoRR abs/1709.06764 (2017)
Coauthor Index
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