Philipp Lottes
Philipp Lottes
Department of Photogrammety, University of Bonn
Verified email at igg.uni-bonn.de - Homepage
TitleCited byYear
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
762017
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
382018
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
352016
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
332017
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 the Photogrammetry, Remote Sensing and Spatial Information …, 2017
302017
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
282017
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
192018
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
162018
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
102017
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
82018
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
82016
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
62018
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, 2019
2019
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
2019
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
E Palazzolo, J Behley, P Lottes, P Giguère, C Stachniss
arXiv preprint arXiv:1905.02082, 2019
2019
4th Field Day" Mechanical Weed Control in Medicinal and Spice Plant Cultivation" at the Campus Klein-Altendorf
H Blum, R Pude, S Staub, S Breit, P Lottes
ZEITSCHRIFT FUR ARZNEI-& GEWURZPFLANZEN 22 (1), 5-8, 2017
2017
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