AI RESEARCH
AsyncMDE: Real-Time Monocular Depth Estimation via Asynchronous Spatial Memory
arXiv CS.CV
•
ArXi:2603.10438v1 Announce Type: cross Foundation-model-based monocular depth estimation offers a viable alternative to active sensors for robot perception, yet its computational cost often prohibits deployment on edge platforms. Existing methods perform independent per-frame inference, wasting the substantial computational redundancy between adjacent viewpoints in continuous robot operation. This paper presents AsyncMDE, an asynchronous depth perception system consisting of a foundation model and a lightweight model that amortizes the foundation model's computational cost over time.