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Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction


Feb 18, 2021
Daniel Gehrig, Michelle Rüegg, Mathias Gehrig, Javier Hidalgo Carrio, Davide Scaramuzza

* IEEE Robotics and Automation Letters (RA-L), 2021 

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AlphaPilot: Autonomous Drone Racing


May 26, 2020
Philipp Foehn, Dario Brescianini, Elia Kaufmann, Titus Cieslewski, Mathias Gehrig, Manasi Muglikar, Davide Scaramuzza

* Accepted at Robotics: Science and Systems 2020, associated video at https://youtu.be/DGjwm5PZQT8 

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Event-Based Angular Velocity Regression with Spiking Networks


Mar 05, 2020
Mathias Gehrig, Sumit Bam Shrestha, Daniel Mouritzen, Davide Scaramuzza

* IEEE International Conference on Robotics and Automation (ICRA), Paris, 2020 

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Video to Events: Bringing Modern Computer Vision Closer to Event Cameras


Dec 06, 2019
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza


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Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras


Nov 11, 2019
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini, Davide Scaramuzza


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Focus Is All You Need: Loss Functions For Event-based Vision


Apr 15, 2019
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza

* IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, 2019 
* 29 pages, 19 figures, 4 tables 

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Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing


Mar 01, 2019
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

* IEEE International Conference on Robotics and Automation (ICRA), 2019 
* 6 pages (+1 references) 

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Visual Place Recognition with Probabilistic Vertex Voting


Jun 07, 2018
Mathias Gehrig, Elena Stumm, Timo Hinzmann, Roland Siegwart

* 2017 IEEE International Conference on Robotics and Automation (ICRA) 
* 8 pages 

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