arxivcs.CVcs.AI2026-07-17
On the Geometry of Learned Representations in Event-Based Multi-Modal Egomotion Estimation
Stefano Silvestrini, Michele Ceresoli
Classical approaches to event-based egomotion estimation, including those adopted by the top-performing teams of the ELOPE challenge, rely on geometric optimization frameworks such as contrast maximization, homography estimation, or dense optical flow combined with analytic motio…