DOI
https://doi.org/10.25772/KJF3-WF98
Defense Date
2017
Document Type
Dissertation
Degree Name
Doctor of Philosophy
Department
Engineering
First Advisor
Yuichi Motai
Abstract
Omni-directional (O-D) infrared (IR) vision is an effective capability for mobile systems in robotics, due to its advantages: illumination invariance, wide field-of-view, ease of identifying heat-emitting objects, and long term tracking without interruption. Unfortunately, O-D IR sensors have low resolution, low frame rates, high cost, sensor noise, and an increase in tracking time. In order to overcome these disadvantages, we propose an autonomous system application in indoor scenarios including 1) Dynamic 3D Reconstruction (D3DR) of the target view in real time images, 2) Human Behavior-based Target Tracking from O-D thermal images, 3) Thermal Multisensor Fusion (TMF), and 4) Visual Perception for Social Cognition from the motion behavior of the human target.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
8-10-2017
Included in
Controls and Control Theory Commons, Electrical and Electronics Commons, Other Electrical and Computer Engineering Commons, Robotics Commons, Systems and Communications Commons