Talks from the Lab


Keynote Talk by C. Stachniss on LiDAR-based SLAM using Geometry and Semantics ... (ITSC'20 SLAM-WS)

Keynote Talk by C. Stachniss on LiDAR-based SLAM using Geometry and Semantics … (ITSC’20 SLAM-WS)

Keynote Talk by C. Stachniss on LiDAR-based SLAM using Geometry and Semantics for Self-driving Cars given at the IEEE International Conference on Intelligent Transportation Systems SLAM Workshop, 2020


Nik Petrinic: Impact and Shock Mechanics Research for High-Performance Engineering Products

Nik Petrinic: Impact and Shock Mechanics Research for High-Performance Engineering Products


Talk by F. Magistri: Segmentation-Based 4D Registration of Plants Point Clouds (IROS'20)

Talk by F. Magistri: Segmentation-Based 4D Registration of Plants Point Clouds (IROS’20)

Paper:
F. Magistri, N. Chebrolu, and C. Stachniss, “Segmentation-Based 4D Registration of Plants Point Clouds for Phenotyping,” in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.

PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/magistri2020iros.pdf


Talk by D. Gogoll: Unsupervised Domain Adaptation for Transferring Plant Classification...(IROS'20)

Talk by D. Gogoll: Unsupervised Domain Adaptation for Transferring Plant Classification…(IROS’20)

D. Gogoll, P. Lottes, J. Weyler, N. Petrinic, and C. Stachniss, “Unsupervised Domain Adaptation for Transferring Plant Classification Systems to New Field Environments, Crops, and Robots,” in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.
PAPER: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/gogoll2020iros.pdf


Talk by J. Behley on Domain Transfer for Semantic Segmentation of LiDAR Data using DNNs... (IROS'20)

Talk by J. Behley on Domain Transfer for Semantic Segmentation of LiDAR Data using DNNs… (IROS’20)

F. Langer, A. Milioto, A. Haag, J. Behley, and C. Stachniss,
“Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks,”
in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.

PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/langer2020iros.pdf


Talk by X. Chen on Learning an Overlap-based Observation Model for 3D LiDAR Localization (IROS'20)

Talk by X. Chen on Learning an Overlap-based Observation Model for 3D LiDAR Localization (IROS’20)

X. Chen, T. Läbe, L. Nardi, J. Behley, and C. Stachniss,
“Learning an Overlap-based Observation Model for 3D LiDAR Localization,”
in Proceedings of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2020.

PAPER: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2020iros.pdf
CODE: https://github.com/PRBonn/overlap_localization


Keynote Talk by C. Stachniss: Map-based Localization for Autonomous Driving (ECCV 2020 Workshops)

Keynote Talk by C. Stachniss: Map-based Localization for Autonomous Driving (ECCV 2020 Workshops)

Invited Talk by Cyrill Stachniss
ECCV 2020 Workshop on Map-based Localization for Autonomous Driving
https://sites.google.com/view/mlad-eccv2020


Talk by X. Chen on OverlapNet - Loop Closing for LiDAR-based SLAM (RSS'20)

Talk by X. Chen on OverlapNet – Loop Closing for LiDAR-based SLAM (RSS’20)

Talk for the RSS 2020 paper:
X. Chen, T. Läbe, A. Milioto, T. Röhling, O. Vysotska, A. Haag, J. Behley, and C. Stachniss,
“OverlapNet: Loop Closing for LiDAR-based SLAM,”
in Proceedings of Robotics: Science and Systems (RSS), 2020.

Paper: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chen2020rss.pdf
Code available: https://github.com/PRBonn/OverlapNet


Keynote Talk by C. Stachniss: Robots in the Field - Towards Sustainable Crop Production (ICRA'20)

Keynote Talk by C. Stachniss: Robots in the Field – Towards Sustainable Crop Production (ICRA’20)

Robots in the Fields: Directions Towards Sustainable Crop Production
ICRA 2020 Keynote Talk by Cyrill Stachniss
International Conference on Robotics and Automation, Paris, 2020

Abstract:
Food, feed, fiber, and fuel: Crop farming plays an essential role for the future of humanity and our planet. We heavily rely on agricultural production and at the same time, we need to reduce the footprint of agriculture production: less input of chemicals like herbicides and fertilizer and other limited resources. Simultaneously, the decline in arable land and climate change pose additional constraints like drought, heat, and other extreme weather events. Robots and other new technologies offer promising directions to tackle different management challenges in agricultural fields. To achieve this, autonomous field robots need the ability to perceive and model their environment, to predict possible future developments, and to make appropriate decisions in complex and changing situations. This talk will showcase recent developments towards robot-driven sustainable crop production. We will illustrate how certain management tasks can be automized using UAVs and UGVs and which new ways this technology offers. Among work conducted in collaborative European projects, the talk covers ongoing developments of the Cluster of Excellence “PhenoRob – Robotics and Phenotyping for Sustainable Crop Production” and some of our current exploitation activities.


Talk by N. Chebrolu on Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants (ICRA'20)

Talk by N. Chebrolu on Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants (ICRA’20)

ICRA 2020 talk about the paper:
N. Chebrolu, T. Laebe, and C. Stachniss,
“Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants,”
in Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020.

https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/chebrolu2020icra.pdf


Talk by L. Nardi on Long-Term Robot Navigation in Indoor Environments... (ICRA'20)

Talk by L. Nardi on Long-Term Robot Navigation in Indoor Environments… (ICRA’20)

ICRA 2020 talk about the paper:
L. Nardi and C. Stachniss,
“Long-Term Robot Navigation in Indoor Environments Estimating Patterns in Traversability Changes,”
in Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020.

PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/nardi2020icra.pdf
Discussion Slack Channel: https://icra20.slack.com/app_redirect?channel=moa08_1


Talk by J. Quenzel on Beyond Photometric Consistency: Gradient-based Dissimilarity for VO (ICRA'20)

Talk by J. Quenzel on Beyond Photometric Consistency: Gradient-based Dissimilarity for VO (ICRA’20)

ICRA 2020 talk about the paper:
J. Quenzel, R. A. Rosu, T. Laebe, C. Stachniss, and S. Behnke, “Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching,” in Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020.

PDF: http://www.ipb.uni-bonn.de/pdfs/quenzel2020icra.pdf


Talk by R. Sheikh on Gradient and Log-based Active Learning for Semantic Segmentation... (ICRA'20)

Talk by R. Sheikh on Gradient and Log-based Active Learning for Semantic Segmentation… (ICRA’20)

ICRA 2020 talk about the paper:
R. Sheikh, A. Milioto, P. Lottes, C. Stachniss, M. Bennewitz, and T. Schultz,
“Gradient and Log-based Active Learning for Semantic Segmentation of Crop and Weed for Agricultural Robots,”
in Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020.

PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/sheikh2020icra.pdf


Talk by A. Ahmadi on Visual Servoing-based Navigation for Monitoring Row-Crop Fields (ICRA'20)

Talk by A. Ahmadi on Visual Servoing-based Navigation for Monitoring Row-Crop Fields (ICRA’20)

ICRA 2020 talk about the paper:
A. Ahmadi, L. Nardi, N. Chebrolu, and C. Stachniss,
“Visual Servoing-based Navigation for Monitoring Row-Crop Fields,”
in Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020.

PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/ahmadi2020icra.pdf
CODE: https://github.com/PRBonn/visual-crop-row-navigation