Date of Award
1-1-2015
Document Type
Thesis
Degree Name
M.S. in Engineering Science
Department
Computer and Information Science
First Advisor
Byunghyun Jang
Second Advisor
Yixin Chen
Third Advisor
Dawn Wilkins
Relational Format
dissertation/thesis
Abstract
This thesis presents a real-time Augmented Reality Navigation System(ARNavi) on Android smartphone that leverages the parallel computing power of mobile GPUs. Unlike conventional navigation systems, our proposed ARNavi augments navigation information onto real scene video streaming from device camera in real-time. To achieve this goal, we implement and accelerate compute intensive part of applications using OpenCL on GPU integrated on mobile Application Processor (AP). The contributions of this thesis are three-fold. First, we propose new lane detection algorithm and prediction mechanism based on geometric coordinates. The result shows that these two algorithms are fast and accurate. Second, we port and accelerate a complete application on mobile AP. By taking advantage of CPU-GPU heterogeneous computing techniques, we achieve more than 2.6 times performance boost compared to CPU only version. Lastly, we successfully integrate OpenCL and OpenCV on Android platform.
Recommended Citation
Zhao, Mengshen, "A GPU Powered Mobile AR Navigation System" (2015). Electronic Theses and Dissertations. 1298.
https://egrove.olemiss.edu/etd/1298
Concentration/Emphasis
Emphasis: Computer Science