Ayman H. Kassem

Work place: Aerospace and Aeronautical Engineering, Cairo University, Giza, Egypt

E-mail: draymank@yahoo.com


Research Interests: Engineering, Computational Engineering, Computational Science and Engineering


Dr. Ayman H. Kassem was born in Cairo, Egypt on July 16, 1968. He received the B.Sc. in Aerospace and Aeronautical Engineering and M.Sc. in Mechanical Engineering from Cairo University in 1990 and 1993 respectively. He received the Ph.D. in Aerospace Engineering from Old Dominion University. He joined Cairo University in 2013 as a professor.
He is currently the chairman of Aerospace and Aeronautical Engineering Department in Cairo University. He published 20 scientific papers in several journals such as: Modeling and Attitude Stabilization of Indoor Quad Rotor (International Review of Aerospace Engineering, 2014), Adaptive Neuro-fuzzy Controller for Multi-layered Switched Reluctance Motor (International Journal of Computer Applications, 2012), Effect of glass slope angle and water depth on productivity of double slope solar still (Journal of Scientific and Industrial Research, 2011), etc.

Author Articles
A Low Cost Indoor Positioning System Using Computer Vision

By Youssef N. Naggar Ayman H. Kassem Mohamed S. Bayoumi

DOI: https://doi.org/10.5815/ijigsp.2019.04.02, Pub. Date: 8 Apr. 2019

In the era of robotics, positioning is one of the major problems in an indoor environment. A Global Positioning System (GPS), which is quite reliable system when it comes to outdoor environments and its accuracy falls in the range of meters. But for indoor environment, which requires a positioning accuracy in centimeters scale, the GPS cannot achieve this task due to its signal loss and scattering caused by the building walls. Therefore, an Indoor Positioning System (IPS) based on several technologies and techniques has been developed to overcome this issue. Nowadays, IPS becomes an active growing research topic because of its limitless implementations in a variety of applications. This paper represents the development of a low cost optical indoor positioning system solution where a static commercial camera is the only sensor. High accuracy in localization within the range of 1 cm is achieved. Detection, classification, and tracking techniques of an object are tested on mobile robots. The system is ideal for an indoor robotic warehouse application, where minimal infrastructure and cost parameters are required. The resulted positioning data are compared to the real measurement, and sent to the rovers via a lightweight broker-based publish/subscribe messaging protocol called Message Queuing Telemetry Transport (MQTT), where the only requirement between the client publisher and subscriber is the availability of a WLAN connection.

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