scholar.google.com › citations
Feb 23, 2017 · In this paper, we leverage such a continuous-time representation to perform visual-inertial odometry with an event camera.
The event camera trajectory is approximated by a smooth curve in the space of rigid-body motions using cubic splines. This formulation significantly reduces the ...
Jan 12, 2018 · [4] details the combination of a spline based trajectory estimation with visual-inertial measure- ments through an IMU and an event based camera ...
Sep 9, 2024 · In this paper, we leverage a continuous-time framework to perform trajectory estimation by fusing visual data from a moving event camera with ...
The method developed for DVS trajectory estimation is described in Section IV and evaluated in Section V. Section VI draws conclusions and points out future ...
This paper is the first work on visual-inertial fusion with event cameras using a continuous-time framework and shows that the method provides improved ...
Continuous-Time Visual-Inertial Odometry for Event Cameras
www.researchgate.net › publication › 32...
In this paper, we leverage such a continuous-time representation to perform visual-inertial odometry with an event camera. This representation allows direct ...
Abstract—In this paper, we propose a highly accurate continuous-time trajectory estimation framework dedicated to. SLAM (Simultaneous Localization and ...
This paper is the first work on visual-inertial fusion with event cameras using a continuous-time framework and shows that the method provides improved ...
May 31, 2024 · The proposed event-based visual-inertial velometer leverages a continuous-time formulation that incrementally fuses the heterogeneous measurements from a ...