Neuromorphic computing hardware and neural architectures for robotics
Neuromorphic hardware enables fast and power-efficient neural network–based artificial
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …
intelligence that is well suited to solving robotic tasks. Neuromorphic algorithms can be …
Secrets of event-based optical flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …
Following recent image-based deep-learning achievements, optical flow estimation methods …
The neuromechanics of animal locomotion: From biology to robotics and back
P Ramdya, AJ Ijspeert - Science Robotics, 2023 - science.org
Robotics and neuroscience are sister disciplines that both aim to understand how agile,
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …
efficient, and robust locomotion can be achieved in autonomous agents. Robotics has …
[HTML][HTML] Visual slam: What are the current trends and what to expect?
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous …
Video to events: Recycling video datasets for event cameras
D Gehrig, M Gehrig, J Hidalgo-Carrió… - Proceedings of the …, 2020 - openaccess.thecvf.com
Event cameras are novel sensors that output brightness changes in the form of a stream of
asynchronous" events" instead of intensity frames. They offer significant advantages with …
asynchronous" events" instead of intensity frames. They offer significant advantages with …
Object tracking by jointly exploiting frame and event domain
Inspired by the complementarity between conventional frame-based and bio-inspired event-
based cameras, we propose a multi-modal based approach to fuse visual cues from the …
based cameras, we propose a multi-modal based approach to fuse visual cues from the …
Ess: Learning event-based semantic segmentation from still images
Z Sun, N Messikommer, D Gehrig… - European Conference on …, 2022 - Springer
Retrieving accurate semantic information in challenging high dynamic range (HDR) and
high-speed conditions remains an open challenge for image-based algorithms due to …
high-speed conditions remains an open challenge for image-based algorithms due to …
Combining events and frames using recurrent asynchronous multimodal networks for monocular depth prediction
D Gehrig, M Rüegg, M Gehrig… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Event cameras are novel vision sensors that report per-pixel brightness changes as a
stream of asynchronous “events”. They offer significant advantages compared to standard …
stream of asynchronous “events”. They offer significant advantages compared to standard …
Graph-based asynchronous event processing for rapid object recognition
Different from traditional video cameras, event cameras capture asynchronous events
stream in which each event encodes pixel location, trigger time, and the polarity of the …
stream in which each event encodes pixel location, trigger time, and the polarity of the …
Event-based eye tracking. AIS 2024 challenge survey
This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of
the challenge focuses on processing eye movement recorded with event cameras and …
the challenge focuses on processing eye movement recorded with event cameras and …