Segui
Titus Cieslewski
Titus Cieslewski
Robotics and Perception Group, University of Zurich, Switzerland
Email verificata su ifi.uzh.ch - Home page
Titolo
Citata da
Citata da
Anno
Data-efficient decentralized visual SLAM
T Cieslewski, S Choudhary, D Scaramuzza
2018 IEEE international conference on robotics and automation (ICRA), 2466-2473, 2018
2442018
Are we ready for autonomous drone racing? the UZH-FPV drone racing dataset
J Delmerico, T Cieslewski, H Rebecq, M Faessler, D Scaramuzza
2019 International Conference on Robotics and Automation (ICRA), 6713-6719, 2019
2432019
Rapid exploration with multi-rotors: A frontier selection method for high speed flight
T Cieslewski, E Kaufmann, D Scaramuzza
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
2322017
AlphaPilot: Autonomous Drone Racing
P Foehn, D Brescianini, E Kaufmann, T Cieslewski, M Gehrig, M Muglikar, ...
Robotics: Science and Systems (RSS), 2020
1722020
Dynamic collaboration without communication: Vision-based cable-suspended load transport with two quadrotors
M Gassner, T Cieslewski, D Scaramuzza
2017 IEEE International Conference on Robotics and Automation (ICRA), 5196-5202, 2017
1542017
Robogen: Robot generation through artificial evolution
J Auerbach, D Aydin, A Maesani, P Kornatowski, T Cieslewski, G Heitz, ...
Artificial Life Conference Proceedings, 136-137, 2014
1272014
Challenges and implemented technologies used in autonomous drone racing
H Moon, J Martinez-Carranza, T Cieslewski, M Faessler, D Falanga, ...
Intelligent Service Robotics 12, 137-148, 2019
1252019
The gist of maps-summarizing experience for lifelong localization
M Dymczyk, S Lynen, T Cieslewski, M Bosse, R Siegwart, P Furgale
2015 IEEE international conference on robotics and automation (ICRA), 2767-2773, 2015
972015
Point cloud descriptors for place recognition using sparse visual information
T Cieslewski, E Stumm, A Gawel, M Bosse, S Lynen, R Siegwart
2016 IEEE International Conference on Robotics and Automation (ICRA), 4830-4836, 2016
672016
Structure-based vision-laser matching
A Gawel, T Cieslewski, R Dubé, M Bosse, R Siegwart, J Nieto
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
642016
Efficient decentralized visual place recognition using a distributed inverted index
T Cieslewski, D Scaramuzza
IEEE Robotics and Automation Letters 2 (2), 640-647, 2017
542017
Map api-scalable decentralized map building for robots
T Cieslewski, S Lynen, M Dymczyk, S Magnenat, R Siegwart
2015 IEEE International Conference on Robotics and Automation (ICRA), 6241-6247, 2015
542015
Augmenting Visual Place Recognition with Structural Cues
A Oertel, T Cieslewski, D Scaramuzza
IEEE Robotics and Automation Letters (RA-L) 5 (4), 5534-5541, 2020
482020
Continuous-time vs. discrete-time vision-based SLAM: A comparative study
G Cioffi, T Cieslewski, D Scaramuzza
IEEE Robotics and Automation Letters 7 (2), 2399-2406, 2022
382022
Efficient decentralized visual place recognition from full-image descriptors
T Cieslewski, D Scaramuzza
2017 International symposium on multi-robot and multi-agent systems (MRS), 78-82, 2017
372017
Sips: Succinct interest points from unsupervised inlierness probability learning
T Cieslewski, KG Derpanis, D Scaramuzza
2019 International Conference on 3D Vision (3DV), 604-613, 2019
29*2019
Place recognition in semi-dense maps: Geometric and learning-based approaches
Y Ye, T Cieslewski, A Loquercio, D Scaramuzza
British Machine Vision Conference (BMVC), 74.1-74.13, 2017
222017
Matching Features without Descriptors: Implicitly Matched Interest Points
T Cieslewski, M Bloesch, D Scaramuzza
British Machine Vision Conference (BMVC), 2019
192019
Robustness to connectivity loss for collaborative mapping
A Quraishi, T Cieslewski, S Lynen, R Siegwart
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
52016
Exploration Without Global Consistency Using Local Volume Consolidation
T Cieslewski, A Ziegler, D Scaramuzza
IFRR International Symposium on Robotics Research (ISRR), 2019
32019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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