METER: a mobile vision transformer architecture for monocular depth estimation

arXiv:2403.08368v1 Announce Type: new
Abstract: Depth estimation is a fundamental knowledge for autonomous systems that need to assess their own state and perceive the surrounding environment. Deep learning algorithms for depth estimation have gained significant interest in recent years, owing to the potential benefits of this methodology in overcoming the limitations of active depth sensing systems. Moreover, due to the low cost and size of monocular cameras, researchers have focused their attention on monocular depth estimation (MDE), which consists in …

abstract algorithms architecture arxiv autonomous autonomous systems benefits cs.cv deep learning deep learning algorithms environment knowledge methodology mobile state systems transformer transformer architecture type vision