Towards Specialized Hardware for Learning-based Visual Odometry on the Edge
Siyuan Chen,Ken Mai,Siyuan Chen,Ken Mai
Learning-based visual odometry (VO) has gained increasing popularity in autonomous navigation of small robots. However, most methods in the category require computation resources not normally available on edge systems. We contend that specialized hardware accelerators are ideal solutions to this problem because of their superior energy efficiency. In this paper, we first propose a model to derive ...
