NeuFlow: Real-time, High-accuracy Optical Flow Estimation on Robots Using Edge Devices

arXiv:2403.10425v1 Announce Type: new
Abstract: Real-time high-accuracy optical flow estimation is a crucial component in various applications, including localization and mapping in robotics, object tracking, and activity recognition in computer vision. While recent learning-based optical flow methods have achieved high accuracy, they often come with heavy computation costs. In this paper, we propose a highly efficient optical flow architecture, called NeuFlow, that addresses both high accuracy and computational cost concerns. The architecture follows a global-to-local scheme. Given the features of …

accuracy arxiv cs.ai cs.cv cs.ro devices edge edge devices flow optical optical flow real-time robots type