A GPU Powered Mobile AR Navigation System

摘要

This paper presents a real-time Augmented Reality Navigation system (ARNavi) on Android mobile phone that exploits the parallel computing power of mobile GPUs. Unlike conventional navigation systems, our proposed ARNavi augments navigation information onto live video streaming from device camera in real-time. The contributions of this paper are two-fold. First, we propose a fast and accurate lane detection and mapping algorithms. Second, we demonstrate that real-time augmented reality navigation can be achieved by taking advantage of CPU-GPU heterogeneous computing technology on a mobile processor. We achieve up to 18 FPS for 640x360 resolution camera streaming. It is more than 2. 6× speedup over CPU only execution.