Philipp Lottes

27 papers A* 5A 4Journal 17

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics. Comput. Electron. Agric. Federico Magistri, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley, Nik Petrinic, Cyrill Stachniss
2023	J	`jnl`	Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms. IEEE Robotics Autom. Lett. Yue Linn Chong, Jan Weyler, Philipp Lottes, Jens Behley, Cyrill Stachniss
2022	J	`jnl`	Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery. IEEE Robotics Autom. Lett. Jan Weyler, Jan Quakernack, Philipp Lottes, Jens Behley, Cyrill Stachniss
2021	J	`jnl`	Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry. Comput. Electron. Agric. Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus
2021	J	`jnl`	Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution. IEEE Robotics Autom. Mag. 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
2021	—	`—`	Plant Classification Systems for Agricultural Robots Philipp Lottes
2020	A*	`conf`	Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots. ICRA Rasha Sheikh, Andres Milioto, Philipp Lottes, Cyrill Stachniss, Maren Bennewitz, Thomas Schultz
2020	J	`jnl`	Robotic weed control using automated weed and crop classification. J. Field Robotics Xiaolong Wu, Stéphanie Aravecchia, Philipp Lottes, Cyrill Stachniss, Cédric Pradalier
2020	J	`jnl`	Robust joint stem detection and crop-weed classification using image sequences for plant-specific treatment in precision farming. J. Field Robotics Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss
2020	A	`conf`	Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots. IROS Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss
2019	J	`jnl`	Building an Aerial-Ground Robotics System for Precision Farming. CoRR 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
2019	A	`conf`	ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. IROS Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss
2019	J	`jnl`	ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals. CoRR Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss
2019	A*	`conf`	Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields. ICRA Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss
2018	J	`jnl`	Fully Convolutional Networks With Sequential Information for Robust Crop and Weed Detection in Precision Farming. IEEE Robotics Autom. Lett. Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss
2018	J	`jnl`	Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming. CoRR Philipp Lottes, Jens Behley, Andres Milioto, Cyrill Stachniss
2018	A	`conf`	Joint Stem Detection and Crop-Weed Classification for Plant-Specific Treatment in Precision Farming. IROS Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss
2018	J	`jnl`	Joint Stem Detection and Crop-Weed Classification for Plant-specific Treatment in Precision Farming. CoRR Philipp Lottes, Jens Behley, Nived Chebrolu, Andres Milioto, Cyrill Stachniss
2018	A*	`conf`	Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. ICRA Andres Milioto, Philipp Lottes, Cyrill Stachniss
2018	J	`jnl`	WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming. Remote. Sens. Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart
2018	J	`jnl`	WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming. CoRR Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart
2017	J	`jnl`	Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields. Int. J. Robotics Res. Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss
2017	J	`jnl`	Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming. J. Field Robotics Philipp Lottes, Markus Höferlin, Slawomir Sander, Cyrill Stachniss
2017	J	`jnl`	Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs. CoRR Andres Milioto, Philipp Lottes, Cyrill Stachniss
2017	A	`conf`	Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement. IROS Philipp Lottes, Cyrill Stachniss
2017	A*	`conf`	UAV-based crop and weed classification for smart farming. ICRA Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss
2016	A*	`conf`	An effective classification system for separating sugar beets and weeds for precision farming applications. ICRA Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss