Philipp Lottes
Philipp Lottes
Department of Photogrammety, University of Bonn
Geverifieerd e-mailadres voor igg.uni-bonn.de - Homepage
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UAV-based crop and weed classification for smart farming
P Lottes, R Khanna, J Pfeifer, R Siegwart, C Stachniss
2017 IEEE International Conference on Robotics and Automation (ICRA), 3024-3031, 2017
1932017
Real-time semantic segmentation of crop and weed for precision agriculture robots leveraging background knowledge in CNNs
A Milioto, P Lottes, C Stachniss
2018 IEEE international conference on robotics and automation (ICRA), 2229-2235, 2018
1672018
WeedMap: A large-scale semantic weed mapping framework using aerial multispectral imaging and deep neural network for precision farming
I Sa, M Popović, R Khanna, Z Chen, P Lottes, F Liebisch, J Nieto, ...
Remote Sensing 10 (9), 1423, 2018
852018
Fully convolutional networks with sequential information for robust crop and weed detection in precision farming
P Lottes, J Behley, A Milioto, C Stachniss
IEEE Robotics and Automation Letters 3 (4), 2870-2877, 2018
822018
Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields
N Chebrolu, P Lottes, A Schaefer, W Winterhalter, W Burgard, C Stachniss
The International Journal of Robotics Research 36 (10), 1045-1052, 2017
782017
REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS.
A Milioto, P Lottes, C Stachniss
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4, 2017
742017
Effective vision‐based classification for separating sugar beets and weeds for precision farming
P Lottes, M Hörferlin, S Sander, C Stachniss
Journal of Field Robotics 34 (6), 1160-1178, 2017
682017
An effective classification system for separating sugar beets and weeds for precision farming applications
P Lottes, M Hoeferlin, S Sander, M Müter, P Schulze, LC Stachniss
2016 IEEE International Conference on Robotics and Automation (ICRA), 5157-5163, 2016
632016
Joint stem detection and crop-weed classification for plant-specific treatment in precision farming
P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
292018
Semi-supervised online visual crop and weed classification in precision farming exploiting plant arrangement
P Lottes, C Stachniss
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
242017
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss
Journal of Field Robotics 37 (1), 20-34, 2020
202020
Refusion: 3d reconstruction in dynamic environments for rgb-d cameras exploiting residuals
E Palazzolo, J Behley, P Lottes, P Giguere, C Stachniss
arXiv preprint arXiv:1905.02082, 2019
192019
Flourish—a robotic approach for automation in crop management
F Liebisch, J Pfeifer, R Khanna, P Lottes, C Stachniss, T Falck, S Sander, ...
Workshop computer-Bildanalyse und Unbemannte Autonom Fliegende Systeme in …, 2016
142016
Building an Aerial-Ground Robotics System for Precision Farming: An Adaptable Solution
A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ...
arXiv preprint arXiv:1911.03098, 2019
102019
Flourish-a robotic approach for automation in crop management
A Walter, R Khanna, P Lottes, C Stachniss, R Siegwart, J Nieto, F Liebisch
Proceedings of the international conference on precision agriculture (ICPA), 2018
102018
Robotic weed control using automated weed and crop classification
X Wu, S Aravecchia, P Lottes, C Stachniss, C Pradalier
Journal of Field Robotics 37 (2), 322-340, 2020
92020
Robot localization based on aerial images for precision agriculture tasks in crop fields
N Chebrolu, P Lottes, T Läbe, C Stachniss
2019 International Conference on Robotics and Automation (ICRA), 1787-1793, 2019
72019
Automatic UAV-based field inspection campaigns for weeding in row crops
F Liebisch, M Popovic, J Pfeifer, R Khanna, P Lottes, A Pretto, I Sa, J Nieto, ...
EARSeL SIG Imaging Spectroscopy Workshop, Zurich, 2017
42017
Gradient and log-based active learning for semantic segmentation of crop and weed for agricultural robots
R Sheikh, A Milioto, P Lottes, C Stachniss, M Bennewitz, T Schultz
2020 IEEE International Conference on Robotics and Automation (ICRA), 1350-1356, 2020
22020
Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots
D Gogoll, P Lottes, J Weyler, N Petrinic, C Stachniss
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