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Philipp Lottes
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2020 – today
- 2023
- [j11]Federico Magistri
, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley
, Nik Petrinic, Cyrill Stachniss:
From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. Comput. Electron. Agric. 212: 108114 (2023) - [j10]Yue Linn Chong
, Jan Weyler
, Philipp Lottes
, Jens Behley
, Cyrill Stachniss
:
Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. IEEE Robotics Autom. Lett. 8(8): 5259-5266 (2023) - 2022
- [j9]Jan Weyler
, Jan Quakernack, Philipp Lottes
, Jens Behley
, Cyrill Stachniss
:
Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. IEEE Robotics Autom. Lett. 7(2): 3787-3794 (2022) - 2021
- [b1]Philipp Lottes:
Plant Classification Systems for Agricultural Robots. University of Bonn, Germany, 2021 - [j8]Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss
, Anne-Katrin Mahlein
, Stefan Paulus:
Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. Comput. Electron. Agric. 191: 106493 (2021) - [j7]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) - 2020
- [j6]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) - [j5]Xiaolong Wu
, Stéphanie Aravecchia
, Philipp Lottes
, Cyrill Stachniss
, Cédric Pradalier
:
Robotic weed control using automated weed and crop classification. J. Field Robotics 37(2): 322-340 (2020) - [c9]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 - [c8]Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss
:
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. IROS 2020: 2636-2642
2010 – 2019
- 2019
- [c7]Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss
:
Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. ICRA 2019: 1787-1793 - [c6]Emanuele Palazzolo, Jens Behley
, Philipp Lottes, Philippe Giguère
, Cyrill Stachniss
:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. IROS 2019: 7855-7862 - [i6]Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss:
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. CoRR abs/1905.02082 (2019) - [i5]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
- [j4]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) - [j3]Inkyu Sa
, Marija Popovic, Raghav Khanna
, Zetao Chen, Philipp Lottes, Frank Liebisch
, Juan I. Nieto, Cyrill Stachniss
, Achim Walter
, Roland Siegwart:
WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. Remote. Sens. 10(9): 1423 (2018) - [c5]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 - [c4]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 - [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]Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart:
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. CoRR abs/1808.00100 (2018) - 2017
- [j2]Nived Chebrolu, Philipp Lottes, Alexander Schaefer
, Wera Winterhalter, Wolfram Burgard
, Cyrill Stachniss
:
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. Int. J. Robotics Res. 36(10): 1045-1052 (2017) - [j1]Philipp Lottes, Markus Höferlin, Slawomir Sander, Cyrill Stachniss
:
Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. J. Field Robotics 34(6): 1160-1178 (2017) - [c3]Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart
, Cyrill Stachniss
:
UAV-based crop and weed classification for smart farming. ICRA 2017: 3024-3031 - [c2]Philipp Lottes, Cyrill Stachniss
:
Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. IROS 2017: 5155-5161 - [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) - 2016
- [c1]Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss
:
An effective classification system for separating sugar beets and weeds for precision farming applications. ICRA 2016: 5157-5163
Coauthor Index
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