Emmanuel Oyekanlu

Work place: Department of Electrical and Computer Engineering, Drexel University, Philadelphia, Pennsylvania, PA 19104, USA

E-mail: eao48@drexel.edu


Research Interests: Engineering, Computational Engineering


Emmanuel Oyekanlu received the B.Tech. Degree in Computer Engineering from Ladoke Akintola University of Technology, Nigeria in 2004. In 2011, he received three Master of Science degrees in Telecommunication, Signal Processing and Electrical Engineering; all from the Blekinge Institute of Technology, Sweden.

Later, in 2011, he joined the Department of Electrical and Computer Engineering at Drexel University, Philadelphia, Pennsylvania, USA for his PhD study and he currently work on the application of power-line communication and adaptive signal processing to the problem of intelligent control of the electrical power micro-grid system for enhanced integration of renewable energy sources.

Author Articles
Laser Scan Matching by FAST CVSAC in Dynamic Environment

By Md. Didarul Islam S. M. Taslim Reza Jia Uddin Emmanuel Oyekanlu

DOI: https://doi.org/10.5815/ijisa.2013.11.02, Pub. Date: 8 Oct. 2013

Localization and mapping are very important for safe movement of robots. One possible way to assist with this functionality is to use laser scan matching. This paper describes a method to implement this functionality. It is based on well-known random sampling and consensus (RANSAC) and iterative closest point (ICP). The proposed algorithm belongs to the class of point to point scan matching approach with its matching criteria rule. The performance of the proposed algorithm is examined in real environment and found applicable in real-time application.

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