Name: Projective 3 Point Algorithm - 5 Minutes with Cyrill @CyrillStachniss
Uploaded: 2026-09-21T08:17:00-05:00
Duration: 8 min 17 s
Description: Projective 3 Point Algorithm - 5 Minutes with Cyrill

Projective 3 Point Algorithm - 5 Minutes with Cyrill

Cyrill Stachniss 2026-09-21 | Projective 3 Point Algorithm - 5 Minutes with Cyrill

Talk by R. Marcuzzi: Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving (RAL23)

Cyrill Stachniss 2023-09-12 | IROS'23 Talk for the paper:
R. Marcuzzi, L. Nunes, L. Wiesmann, J. Behley, and C. Stachniss, “Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 2, p. 1141–1148, 2023. doi:10.1109/LRA.2023.3236568
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/marcuzzi2023ral.pdf

Talk by Y. Pan: Panoptic Mapping with Fruit Completion and Pose Estimation ... (IROS23)

Cyrill Stachniss 2023-09-10 | IROS'23 Talk for the paper:
Y. Pan, F. Magistri, T. Läbe, E. Marks, C. Smitt, C. S. McCool, J. Behley, and C. Stachniss, “Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pan2023iros.pdf
CODE: github.com/PRBonn/HortiMapping

Talk by L. Lobefaro: Estimating 4D Data Associations Towards Spatial-Temporal Mapping ... (IROS23)

Cyrill Stachniss 2023-09-02 | IROS'23 Talk for the paper:
L. Lobefaro, M. V. R. Malladi, O. Vysotska, T. Guadagnino, and C. Stachniss, “Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/lobefaro2023iros.pdf
CODE: github.com/PRBonn/plants_temporal_matcher

Talk by I. Vizzo: KISS-ICP: In Defense of Point-to-Point ICP (RAL-IROS23)

Cyrill Stachniss 2023-08-31 | RAL-IROS'23 Talk for the paper:
Vizzo, T. Guadagnino, B. Mersch, L. Wiesmann, J. Behley, and C. Stachniss, “KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right Way,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 2, pp. 1-8, 2023. doi:10.1109/LRA.2023.3236571
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf
CODE: github.com/PRBonn/kiss-icp

Talk by M. Zeller: Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data (RAL)

Cyrill Stachniss 2023-08-29 | RAL-IROS'23 Talk about the paper:
M. Zeller, J. Behley, M. Heidingsfeld, and C. Stachniss, “Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 1, p. 344–351, 2023. doi:10.1109/LRA.2022.3226030
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zeller2023ral.pdf

Talk by Sodano & Zimmerman: Constructing Metric-Semantic Maps using Floor Plan Priors... (IROS23)

Cyrill Stachniss 2023-08-29 | IROS'23 Talk for the paper:
N. Zimmerman, M. Sodano, E. Marks, J. Behley, and C. Stachniss, “Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zimmerman2023iros.pdf
CODE: github.com/PRBonn/SIMP

Self-Driving Cars: Unsupervised Learning for Vehicles Perception (Lucas Nunes)

Cyrill Stachniss 2023-06-28 | Unsupervised Learning for Vehicles Perception lecture for the course "Techniques for Self-Driving Cars" taught at the University of Bonn.

Markov Decision Process (MDP) - 5 Minutes with Cyrill

Cyrill Stachniss 2023-06-05 | Markov Decision Processes or MDPs explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2023

Credits:
Video by Cyrill Stachniss
Thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Markov Decision Process #shorts

Cyrill Stachniss 2023-06-04 | ...

Singular Value Decomposition - 5 Minutes with Cyrill

Cyrill Stachniss 2023-05-28 | Singular Value Decomposition explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2023

Credits:
Video by Cyrill Stachniss
Thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Singular Value Decomposition #shorts

Cyrill Stachniss 2023-05-26 | Singular Value Decomposition

Talk by L. Nunes: Temporal Consistent 3D Representation Learning for Semantic Perception.. (CVPR23)

Cyrill Stachniss 2023-05-23 | CVPR'23 Talk about the paper:
L. Nunes, L. Wiesmann, R. Marcuzzi, X. Chen, J. Behley, and C. Stachniss, “Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving,” in Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/nunes2023cvpr.pdf
CODE: github.com/PRBonn/TARL

Talk by G. Roggiolani & M. Sodano: Hierarchical Approach for Joint Semantic, Plant Inst... (ICRA23)

Cyrill Stachniss 2023-05-06 | ICRA'23 Talk about the paper:
G. Roggiolani, M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, “Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/roggiolani2023icra-hajs.pdf
CODE: github.com/PRBonn/HAPT

Talk by A. Riccardi: Fruit Tracking Over Time Using High-Precision Point Clouds (ICRA23)

Cyrill Stachniss 2023-05-05 | ICRA'23 Talk about the paper:
A. Riccardi, S. Kelly, E. Marks, F. Magistri, T. Guadagnino, J. Behley, M. Bennewitz, and C. Stachniss, “Fruit Tracking Over Time Using High-Precision Point Clouds,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/riccardi2023icra.pdf

Talk by S. Zhong: SHINE-Mapping: 3D Mapping Using Sparse Hierarchical Implicit Neural Rep. (ICRA23)

Cyrill Stachniss 2023-05-03 | ICRA'23 Talk about the paper:
X. Zhong, Y. Pan, J. Behley, and C. Stachniss, “SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PAPER: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zhong2023icra.pdf
CODE: github.com/PRBonn/SHINE_mapping

Talk by G. Roggiolani: On Domain-Specific Pre-Training for Effective Semantic Perception...(ICRA23)

Cyrill Stachniss 2023-05-03 | ICRA'23 Talk about the paper:
G. Roggiolani, F. Magistri, T. Guadagnino, J. Weyler, G. Grisetti, C. Stachniss, and J. Behley, “On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/roggiolani2023icra-odsp.pdf
CODE: github.com/PRBonn/agri-pretraining

Talk by H. Dong: Learning-Based Dimensionality Reduction for Compact and Effective Features(ICRA23)

Cyrill Stachniss 2023-05-03 | ICRA'23 Talk about the paper:
H. Dong, X. Chen, M. Dusmanu, V. Larsson, M. Pollefeys, and C. Stachniss, “Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PAPER: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/dong2023icra.pdf

Talk by S. Li: Multi-scale Interaction for Real-time LiDAR Data Segmentation ... (RAL-ICRA23)

Cyrill Stachniss 2023-05-03 | ICRA'23 Talk about the paper:
S. Li, X. Chen, Y. Liu, D. Dai, C. Stachniss, and J. Gall, “Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 2, pp. 738-745, 2022. doi:10.1109/LRA.2021.3132059
PAPER: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/li2022ral.pdf
CODE: github.com/sj-li/MINet

Talk by L. Wiesmann: KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recog..(ICRA23)

Cyrill Stachniss 2023-05-02 | ICRA 2023 talk for the paper:
L. Wiesmann, L. Nunes, J. Behley, and C. Stachniss, “KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 2, pp. 592-599, 2023. doi:10.1109/LRA.2022.3228174
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2023ral.pdf
CODE: github.com/PRBonn/kppr

Talk by M. Zeller: Radar Velocity Transformer: Single-scan MOS in Noisy Radar Point Clouds (ICRA23)

Cyrill Stachniss 2023-05-01 | ICRA'23 Talk about the paper:
M. Zeller, V. S. Sandhu, B. Mersch, J. Behley, M. Heidingsfeld, and C. Stachniss, “Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/zeller2023icra.pdf

Talk by B. Mersch: Automatic Labeling to Generate Training Data for Online LiDAR MOS (RAL-ICRA23)

Cyrill Stachniss 2023-04-29 | ICRA 2023 Talk for the paper:
X. Chen, B. Mersch, L. Nunes, R. Marcuzzi, I. Vizzo, J. Behley, and C. Stachniss, “Automatic Labeling to Generate Training Data for Online LiDAR-Based Moving Object Segmentation,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 3, pp. 6107-6114, 2022. doi:10.1109/LRA.2022.3166544
PDF: http://arxiv.org/pdf/2201.04501
CODE: github.com/PRBonn/auto-mos

Talk by M. Sodano: Robust Double-Encoder Network for RGB-D Panoptic Segmentation, (ICRA23)

Cyrill Stachniss 2023-04-28 | ICRA'23 Talk about the paper:
M. Sodano, F. Magistri, T. Guadagnino, J. Behley, and C. Stachniss, “Robust Double-Encoder Network for RGB-D Panoptic Segmentation,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/sodano2023icra.pdf
CODE: github.com/PRBonn/PS-res-excite

Talk by S. Kelly: TAIM - Target-Aware Implicit Mapping for Agricultural Crop Inspection (ICRA23)

Cyrill Stachniss 2023-04-26 | ICRA 2023 Talk by Shane Kelly for the paper:
S. Kelly, A. Riccardi, E. Marks, F. Magistri, T. Guadagnino, M. Chli, and C. Stachniss, “Target-Aware Implicit Mapping for Agricultural Crop Inspection,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.

Contrastive Learning - 5 Minutes with Cyrill

Cyrill Stachniss 2022-12-22 | Contrastive learning explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

3D from Stereo - 5 Minutes with Cyrill

Cyrill Stachniss 2022-11-30 | 3D information from stereo images explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

DigiForest - Digital Analytics and Robotics for Sustainable Forestry

Cyrill Stachniss 2022-11-19 | What if we could create a revolution in spatial data acquisition, organization and analysis and give forestry operators and enterprises up-to-date, tangible information about the status of their forests down to the individual tree? We believe this would improve their oversight by allowing more accurate growth modelling of forest stands and precise predictions of timber yields. It would remove the uncertainty of when thinning operations are needed or where there are trees which are ready for harvest. It could also enable operators to automatically plan where their staff or equipment should be deployed. With capable (semi-)autonomous harvesting, operators eventually automating the full process.
It could also better quantify a forest’s carbon sequestration – with low uncertainty per-tree carbon estimates. Precise measures of crown volume and tree diameters would improve the granularity of carbon credit schemes. This could inform national governments and policy makers when deciding policy on initiatives such as carbon offsets and carbon farming.
In DIGIFOREST, we propose to create such an ecosystem by developing a team of heterogeneous robots to collect and update this raw 3D spatial representations, building large scale forest maps and feeding them to machine learning and spatial AI to semantically segment and label the trees and also the terrain. Our robot team will be diverse: we will use both rugged field robots as well as more experimental vehicles. Most ambitious of all is the intention to (semi-)automate a lightweight harvester for sustainable selective logging.

https://digiforest.eu/

LiDAR Odometry - 5 Minutes with Cyrill

Cyrill Stachniss 2022-10-03 | LiDAR Odometry explained in 5 minutes using KISS-ICP as an example
Code: github.com/PRBonn/kiss-icp
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Thanks to the KISS-ICP developers Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, and Jens Behley
Thanks to Igor Bogoslavskyi and Olga Vysotska
Intro music by The Brothers Records

Running KISS-ICP on KITTI

Cyrill Stachniss 2022-10-01 | See: github.com/prbonn/kiss-icp

Talk by J. Rückin: Informative Path Planning for Active Learning in Aerial Semantic Map... (IROS22)

Cyrill Stachniss 2022-10-01 | IROS 2020 talk by Julius Rückin about the paper
J. Rückin, L. Jin, F. Magistri, C. Stachniss, and M. Popović, “Informative Path Planning for Active Learning in Aerial Semantic Mapping,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/rueckin2022iros.pdf

Talk by F. Magistri: 3D Shape Completion and Reconstruction for Agricultural Robots (RAL-IROS22)

Cyrill Stachniss 2022-09-23 | IROS 2020 Talk by Federico Magistri on
F. Magistri, E. Marks, S. Nagulavancha, I. Vizzo, T. Läbe, J. Behley, M. Halstead, C. McCool, and C. Stachniss, “Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots using RGB-D Frames,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 4, pp. 10120-10127, 2022.
Paper: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/magistri2022ral-iros.pdf

Talk by Y. Pan: Voxfield: Non-Projective Signed Distance Fields (IROS22)

Cyrill Stachniss 2022-09-22 | IROS 2022 Talk by Yue Pan about the paper:
Y. Pan, Y. Kompis, L. Bartolomei, R. Mascaro, C. Stachniss, and M. Chli, “Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction,” in Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2022.
Paper: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/pan2022iros.pdf
Code: github.com/VIS4ROB-lab/voxfield

Talk by Ignacio Vizzo: Make it Dense - Dense Maps from Sparse Point Clouds (RAL-IROS22)

Cyrill Stachniss 2022-09-21 | IROS 2022 Talk by Ignacio Vizzo: “Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments”

I. Vizzo, B. Mersch, R. Marcuzzi, L. Wiesmann, J. and Behley, and C. Stachniss, “Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 3, pp. 8534-8541, 2022. doi:10.1109/LRA.2022.3187255

Paper: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2022ral-iros.pdf
Code: github.com/PRBonn/make_it_dense

Talk by L. Wiesmann: DCPCR - Deep Compressed Point Cloud Registration in Large Env... (RAL-IROS22)

Cyrill Stachniss 2022-09-17 | IROS'2022 Talk by Louis Wiesmann about the RAL-IROS'2022 paper:

L. Wiesmann, T. Guadagnino, I. Vizzo, G. Grisetti, J. Behley, and C. Stachniss, “DCPCR: Deep Compressed Point Cloud Registration in Large-Scale Outdoor Environments,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 3, pp. 6327-6334, 2022. doi:10.1109/LRA.2022.3171068

Paper: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2022ral-iros.pdf
Code: github.com/PRBonn/DCPCR

Talk by L. Nunes: Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data (RAL-IROS22)

Cyrill Stachniss 2022-09-15 | IROS 2022 Talk by L. Nunes about the work: L. Nunes, X. Chen, R. Marcuzzi, A. Osep, L. Leal-Taixé, C. Stachniss, and J. Behley, “Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles,” IEEE Robotics and Automation Letters (RA-L), 2022. doi:10.1109/LRA.2022.3187872
Code: github.com/PRBonn/3DUIS
Paper: https://www.ipb.uni-bonn.de/pdfs/nunes2022ral-iros.pdf

RAL-IROS22 Results: Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Conv...

Cyrill Stachniss 2022-09-14 | Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions by Benedikt Mersch et al. 2022

Presentation: youtube.com/watch?v=5aWew6caPNQ
Paper (RAL-IROS): https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2022ral.pdf
Code: github.com/PRBonn/4DMOS

Talk by B. Mersch: Receding Moving Object Segmentation in 3D LiDAR Data ... (IROS22)

Cyrill Stachniss 2022-09-10 | IROS 2022 Talk by Benedikt Mersch on Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions

Paper: B. Mersch, X. Chen, I. Vizzo, L. Nunes, J. Behley, and C. Stachniss, “Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions,” IEEE Robotics and Automation Letters (RA-L), vol. 7, iss. 3, p. 7503–7510, 2022. doi:10.1109/LRA.2022.3183245
Code: github.com/PRBonn/4DMOS
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/mersch2022ral.pdf

Self-Driving Cars: Localization (Daniel Wilbers)

Cyrill Stachniss 2022-09-10 | Localization lecture for the course "Techniques for Self-Driving Cars" taught at the University of Bonn.

Further Information on Deep Learning and CNNs, see our Machine Learning for Robotics and Computer Vision Course:
youtube.com/playlist?list=PL_14p0-P-YfR2XPdHgZK-DxRifUjG_LLV

#UniBonn #StachnissLab #robotics #autonomouscars #lecture

Talk by L. Peters: Learning Mixed Strategies in Trajectory Games (RSS22)

Cyrill Stachniss 2022-07-10 | RSS 2022 Talk by Lasse Peters. For details see: lasse-peters.net/pub/lifted-games

Preparing Your First Talk - 5 Minutes with Cyrill

Cyrill Stachniss 2022-07-06 | How to prepare for your first talk(s) explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Wolfram Burgard, Olga Vysotska, and Igor Bogoslavskyi
Intro music by The Brothers Records

Giving good lectures - 5 Minutes with Cyrill

Cyrill Stachniss 2022-06-23 | Giving good lectures explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Academic Job Interview Talks - 5 Minutes with Cyrill

Cyrill Stachniss 2022-06-09 | What matters for your talk in an academic job interview explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Talk: Supervised & Unsupervised Approaches for LiDAR Perception in Urban Environments by C Stachniss

Cyrill Stachniss 2022-06-04 | Talk on "Supervised & Unsupervised Approaches for LiDAR-Based Perception in Urban Environments" given by Cyrill Stachniss as an Invited Talk at the Workshop on 3D-Deep Learning for Automated Driving at the IEEE Intelligent Vehicles Symposium (IV’2022) in Aachen, Germany.

Defending Your Research Project Proposal - 5 Minutes with Cyrill

Cyrill Stachniss 2022-06-01 | How to defend your research project proposal explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

What Matters for Your PhD Defense Talk - 5 Minutes with Cyrill

Cyrill Stachniss 2022-05-16 | What matters for your Ph.D. defense talk explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Tips for Your First Conference Talk - 5 Minutes with Cyrill

Cyrill Stachniss 2022-05-03 | Key things to keep in mind when designing a conference presentation explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Wolfram Burgard, Olga Vysotska, and Igor Bogoslavskyi
Intro music by The Brothers Records

Six Ways to Start a Presentation - 5 Minutes with Cyrill

Cyrill Stachniss 2022-04-26 | Six solid ways to start a presentation explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

A Good Structure for Presentations - 5 Minutes with Cyrill

Cyrill Stachniss 2022-04-15 | A good structure for your presentations explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

4 Rules for Presentations - 5 Minutes with Cyrill

Cyrill Stachniss 2022-04-09 | Four rules to improve your presentations explained in 5 minutes
Series: 5 Minutes with Cyrill
Cyrill Stachniss, 2022

Credits:
Video by Cyrill Stachniss
Special thanks to Olga Vysotska and Igor Bogoslavskyi
Intro music by The Brothers Records

Talks That Dont Suck - A Guide to Improve Your Talks (Cyrill Stachniss)

Cyrill Stachniss 2022-04-06 | Talks That Don't Suck - A Guide to Improve Your Talks
Lecture given by Cyrill Stachniss, March 2022

Video not shown due to copyright reasons: Walter Lewin: For the Love of Physics © MIT Open Courseware; See youtube.com/watch?v=sJG-rXBbmCc

Own Examples by/with:
================
Igor Bogoslavskyi: https://www.ipb.uni-bonn.de/people/igor-bogoslavskyi/
Andres Milioto: https://www.ipb.uni-bonn.de/people/andres-milioto/
Olga Vysotska: https://www.ipb.uni-bonn.de/people/olga-vysotska/
Michelle Watt: https://science.unimelb.edu.au/engage/giving-to-science/botany-foundation/impact/professorial-chair

Video Courtesy:
================
Walter Lewin: For the Love of Physics © MIT Open Courseware; youtube.com/watch?v=sJG-rXBbmCc
Annalena Baerbock at the UN © euronews / United Nations; youtube.com/watch?v=82DQEnkkWF4

Image Courtesy:
================
success: pexels-sebastian-voortman-411207: Photo by Sebastian Voortman on Pexels
speaking: one-against-all-g0eab2b386_1920
bordom: pexels-cottonbro-4842498 - Photo by Cottonbro on Pexels
love-why: pexels-kelly-l-4036764 - Photo by Kelly L. on Pexels
passionate: product-school-S3hhrqLrgYM-unsplash - Photo by Product School on Unsplash
levers: lever-g0592f43e8_1920 - CC0 Public Domain, unknown phographer
environment: auditorium-86197_1920 - Photo by User 12019 on Pixabay
dark room: pexels-photoalexandru-10368435 - Photo by photoalexandru on Pexles
lights on: pexels-jonas-kakaroto-2914421 - Photo by Jonas Kakaroto on Pexels
microphone: public-speaking-3926344_1920 - Photo by lograstudio on Pixabay
lavallier: technology-3183126_1920 - Photo by XX on Pixabay
sitting: pexels-matheus-bertelli-3321793 - Photo by Matheus Bertelli on Pexels
time: clocks-257911_1920 - Photo by Jarmoluk on Pixabay
tools: tools-2145770_1920 - Photo by Maria_Domnina on Pixabay
brain-ideas: pexels-shvets-production-7203727 - Photo by Shvets Production on Pexels
props: pulse-3079902_1920 - Photo by Zerpixelt on Pixabay
blackboard: birger-kollmeier-910261_1920 - Photo by WikimediaImages on Pixabay
slides: alex-litvin-MAYsdoYpGuk-unsplash - Photo by Alex- Litvin on Unsplash
slides-design: pexels-junior-teixeira-2047905 - Photo by Junior Teixeira on Pexels
language-processor: pexels-andrey-matveev-5553596 - Photo by Andrey Matveev on Pexels
start: pexels-yigithan-bal-5680771 - Photo by Yigithan Bal on Pexels
start-strong: pexels-andrea-piacquadio-3764014 - Photo by Andrea Piacquadio on Pexels
gun: pointing-gun-1632373_1920 - Photo by kerttu on Pixabay
start-with-why: © Simon Sinek / Penguin
icp: Image by Gerd Altmann on Pixabay
group: one-against-all-g0eab2b386_1920 - Photo by Alexas_Fotos on Pixabay
I have a dream: © picture-alliance/dpa
resonate: © Dancy Duarte/Duarte Inc.
mlk speach analysis: © Dancy Duarte/Duarte Inc.
emotions: pexels-andrea-piacquadio-3812743 - Photo by Andrea Piacquadio on Pexels
TED: © TED.com
story: pexels-tomáš-malík-1703314 - Photo by Tomáš Malík on Pexels
newman: © Paul Newman
made-to-stick: Chip and Dan Heath
the end: pexels-ann-h-11022640 - Photo by Ann H. on Pexels
thanksful: pexels-kelly-l-2928146 - Photo by Kelly L. on Pexels
love: pexels-karolina-grabowska-5713581 - Photo by Karolina Grabowska on Pexels
friends-kids: caroline-hernandez-tJHU4mGSLz4-unsplash - Photo by Caroline Hernandez on Unsplash
hand: hand-4661763_1920 - Photo by JacksonDavid on Pixabay
look-to-audience: pexels-fauxels-3184317 - Photo by Fauxels on Pexels
discuss: one-against-all-1744086_1920 - Photo by Alexas_Fotos on Pixabay
speed: joshua-hoehne-TsdelDFTP6Y-unsplash - Photo by Joshua Hoehne on Unsplash
waterbottle: water-bottle-2821977_1920 - Photo by Derneuemann on Pixabay
ceasar: public domain (Edition des commentaires sur la guerre des Gaules et la guerre civile de Jules César, édités à Venise en 1783 par Thomas Bentley)
videotape: pexels-anete-lusina-4793181 - Photo by Anete Lusina on Pexels
testtalk: pexels-mikael-blomkvist-6476779 - Photo by Mikael Blomkvist on Pexels
timing: stop-watch-396862_1920 - Photo by Sadia on Pixabay
repeat: pexels-mithul-varshan-3023211 - Photo by Mithul Varshan on Pexels
interview: william-moreland-GkWP64truqg-unsplash - Photo by William Moreland on Unsplash
TED: © TED.com
happy-place: by U3077844 on wikiversity.org / Andy Dean Photography

Recording and Editing
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by Lentfer Filmproduktion

#UniBonn #StachnissLab #robotics #talks

ICRA22: Retriever: Point Cloud Retrieval in Compressed 3D Maps by Wiesmann et al.

Cyrill Stachniss 2022-04-04 | L. Wiesmann, R. Marcuzzi, C. Stachniss, and J. Behley, “Retriever: Point Cloud Retrieval in Compressed 3D Maps,” in Proc.~of the IEEE Intl.~Conf.~on Robotics & Automation (ICRA), 2022.
PDF: https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2022icra.pdf

#UniBonn #StachnissLab #robotics