Philipp Lottes

According to our database, Philipp Lottes authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

From one field to another - Unsupervised domain adaptation for semantic segmentation in agricultural robotics.

Federico Magistri, Jan Weyler, Dario Gogoll, Philipp Lottes, Jens Behley, Nik Petrinic, Cyrill Stachniss

Comput. Electron. Agric., September, 2023

Unsupervised Generation of Labeled Training Images for Crop-Weed Segmentation in New Fields and on Different Robotic Platforms.

Yue Linn Chong, Jan Weyler, Philipp Lottes, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2023

2022

Joint Plant and Leaf Instance Segmentation on Field-Scale UAV Imagery.

Jan Weyler, Jan Quakernack, Philipp Lottes, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022

2021

Plant Classification Systems for Agricultural Robots

Philipp Lottes

PhD thesis, 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, 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

IEEE Robotics Autom. Mag., 2021

Automatic UAV-based counting of seedlings in sugar-beet field and extension to maize and strawberry.

Abel Barreto, Philipp Lottes, Facundo Ramón Ispizua Yamati, Stephen Baumgarten, Nina Anastasia Wolf, Cyrill Stachniss, Anne-Katrin Mahlein, Stefan Paulus

Comput. Electron. Agric., 2021

2020

Robotic weed control using automated weed and crop classification.

Xiaolong Wu, Stéphanie Aravecchia, Philipp Lottes, Cyrill Stachniss, Cédric Pradalier

J. Field 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

Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots.

Dario Gogoll, Philipp Lottes, Jan Weyler, Nik Petrinic, Cyrill Stachniss

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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, 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

CoRR, 2019

ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals.

Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Giguère, Cyrill Stachniss

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Robot Localization Based on Aerial Images for Precision Agriculture Tasks in Crop Fields.

Nived Chebrolu, Philipp Lottes, Thomas Läbe, Cyrill Stachniss

Proceedings of the International Conference on Robotics and Automation, 2019

2018

WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming.

Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Achim Walter, Roland Siegwart

Remote. Sens., 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

WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming.

Inkyu Sa, Marija Popovic, Raghav Khanna, Zetao Chen, Philipp Lottes, Frank Liebisch, Juan I. Nieto, Cyrill Stachniss, Roland Siegwart

CoRR, 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

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Real-Time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs.

Andres Milioto, Philipp Lottes, Cyrill Stachniss

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming.

Philipp Lottes, Markus Höferlin, Slawomir Sander, Cyrill Stachniss

J. Field Robotics, 2017

Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields.

Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss

Int. J. Robotics Res., 2017

Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement.

Philipp Lottes, Cyrill Stachniss

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

UAV-based crop and weed classification for smart farming.

Philipp Lottes, Raghav Khanna, Johannes Pfeifer, Roland Siegwart, Cyrill Stachniss

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

An effective classification system for separating sugar beets and weeds for precision farming applications.

Philipp Lottes, Markus Hoeferlin, Slawomir Sander, Matthias Muter, Peter Schulze Lammers, Cyrill Stachniss

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016