EVELOC: Event-based Visual Localization is a PRCI ANR/FWF project has been funded by the ANR CES 33 – Interaction, Robotics and the FWF agencies since 2023 for a duration of 48 months.
Friedrich Fraundorfer (Professor) / Austrian Coordinator
Jun Zhang (Senior Researcher)
Kuangyi Chen (PhD Candidate)
Pascal Vasseur (Professor) / French Coordinator
Fabio Morbidi (Associate Professor HDR)
Ayoub Hsaine (PhD Candidate)
Cédric Demonceaux (Professor)
Renato Martins (Associate Professor)
The goal of this project is to develop new image processing and computer vision algorithms for event cameras. There are four main advantages of event cameras over frame cameras namely high temporal resolution (high frame rate), low latency, low power consumption, and high dynamic range. All these unique properties make event cameras valuable in many computer vision and robotic applications. In particular, in mobile robotics, rapid motions and scenes with variable lighting conditions, are very challenging for standard frame-based cameras. While several computer vision methods for standard cameras have been redesigned for event cameras, others still wait to be discovered. In particular, the EVELOC project aims at developing new efficient, robust and accurate event based registration algorithms into 3D point cloud.
The project is scientifically organized as follows :
This site was created with the Nicepage