4 citations · 5 across the 3 of their papers we have counts for
8 papers
Event-based Stereo Depth Estimation from Ego-motion using Ray Density Fusion
Suman Ghosh, Guillermo Gallego
Event cameras are bio-inspired sensors that mimic the human retina by responding to brightness changes in the scene. They generate asynchronous spike-based outputs at microsecond r…
Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao +15
Information and communication technologies have accompanied our everyday life for years. A steadily increasing number of computers, cameras, mobile devices, etc. generate more and…
Event-based Vision: A Survey
Guillermo Gallego, Tobi Delbruck, Garrick Orchard +8
Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness ch…
Asynchronous, Photometric Feature Tracking using Events and Frames
Daniel Gehrig, Henri Rebecq, Guillermo Gallego +1
We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output…
Semi-Dense 3D Reconstruction with a Stereo Event Camera
Yi Zhou, Guillermo Gallego, Henri Rebecq +3
Event cameras are bio-inspired sensors that offer several advantages, such as low latency, high-speed and high dynamic range, to tackle challenging scenarios in computer vision. Th…
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
Event cameras are bio-inspired vision sensors that naturally capture the dynamics of a scene, filtering out redundant information. This paper presents a deep neural network approac…