Dissertation Announcement for Sheng Cai
08/01/16 at 10:00 AM
July 26, 2016
Dear Faculty, Graduate and Undergraduate Students,
You are cordially invited to my dissertation oral defense.
Dissertation Title: Towards Autonomous Unmanned Vehicle Systems
When: Monday, August 1st, 2016, 10:00 AM
Where: Simrall 228
Candidate: Sheng Cai
Degree: Doctor of Philosophy, Electrical and Computer Engineering
Committee:
Dr. J. Patrick Donohoe
Professor of Electrical and Computer Engineering (Major Professor )
Dr. Sherif Abdelwahed
Associate Professor of Electrical and Computer Engineering (Committee Member)
Dr. James E. Fowler
Professor of Electrical and Computer Engineering (Committee Member and Graduate Coordinator)
Dr. Pan Li
Assistant Professor of Electrical Engineering and Computer Science in Case Western Reserve University (Committee Member)
Abstract:
As an emerging technology, autonomous Unmanned Vehicle Systems (UVS) have found not only many military applications, but also various civil applications. For example, Google, Amazon and Facebook are developing their UVS plans to explore new markets. However, there are still a lot of challenging problems which deter the UVS’s development.
We study two important and challenging problems in this dissertation, i.e. localization and 3D reconstruction. Specifically, most GPS based localization systems are not very accurate and can have problems in areas where no GPS signals are available. Based on the Received Signal Strength Indication (RSSI) and Inertial Navigation System (INS), we propose a new hybrid localization system, which is very efficient and can account for dynamic communication environments. Extensive simulation results demonstrate the efficiency of the proposed localization system. Besides, 3D reconstruction is a key problem in autonomous navigation and hence very important for UVS. With the help of high-speed Internet and powerful cloud servers, the light-weight computers on the UVS can now execute computationally expensive computer vision based algorithms. We develop a 3D reconstruction scheme which employs cloud computing to perform realtime 3D reconstruction. Simulations and experiments show the efficacy and efficiency of our scheme.
Best regards,
Sheng Cai