351 citations · 1.3k across the 34 of their papers we have counts for
14 papers · 1 filter
Video to Events: Recycling Video Datasets for Event Cameras
Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió +1
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…
Towards Low-Latency High-Bandwidth Control of Quadrotors using Event Cameras
Rika Sugimoto Dimitrova, Mathias Gehrig, Dario Brescianini +1
Event cameras are a promising candidate to enable high speed vision-based control due to their low sensor latency and high temporal resolution. However, purely event-based feedback…
Exploration Without Global Consistency Using Local Volume Consolidation
Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza
In exploration, the goal is to build a map of an unknown environment. Most state-of-the-art approaches use map representations that require drift-free state estimates to function p…
A General Framework for Uncertainty Estimation in Deep Learning
Antonio Loquercio, Mattia Segù, Davide Scaramuzza
Neural networks predictions are unreliable when the input sample is out of the training distribution or corrupted by noise. Being able to detect such failures automatically is fund…
High Speed and High Dynamic Range Video with an Event Camera
Henri Rebecq, René Ranftl, Vladlen Koltun +1
Event cameras are novel sensors that report brightness changes in the form of a stream of asynchronous "events" instead of intensity frames. They offer significant advantages with…
Visual-Inertial Odometry of Aerial Robots
Davide Scaramuzza, Zichao Zhang
Visual-Inertial odometry (VIO) is the process of estimating the state (pose and velocity) of an agent (e.g., an aerial robot) by using only the input of one or more cameras plus on…