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Dive into the research topics where Taufiqur Rahman is active.

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Featured researches published by Taufiqur Rahman.


IEEE Transactions on Image Processing | 2012

An Efficient Camera Calibration Technique Offering Robustness and Accuracy Over a Wide Range of Lens Distortion

Taufiqur Rahman; Nicholas Krouglicof

In the field of machine vision, camera calibration refers to the experimental determination of a set of parameters that describe the image formation process for a given analytical model of the machine vision system. Researchers working with low-cost digital cameras and off-the-shelf lenses generally favor camera calibration techniques that do not rely on specialized optical equipment, modifications to the hardware, or an a priori knowledge of the vision system. Most of the commonly used calibration techniques are based on the observation of a single 3-D target or multiple planar (2-D) targets with a large number of control points. This paper presents a novel calibration technique that offers improved accuracy, robustness, and efficiency over a wide range of lens distortion. This technique operates by minimizing the error between the reconstructed image points and their experimentally determined counterparts in “distortion free” space. This facilitates the incorporation of the exact lens distortion model. In addition, expressing spatial orientation in terms of unit quaternions greatly enhances the proposed calibration solution by formulating a minimally redundant system of equations that is free of singularities. Extensive performance benchmarking consisting of both computer simulation and experiments confirmed higher accuracy in calibration regardless of the amount of lens distortion present in the optics of the camera. This paper also experimentally confirmed that a comprehensive lens distortion model including higher order radial and tangential distortion terms improves calibration accuracy.


international conference on robotics and automation | 2014

Digital hardware implementation of an active disturbance rejection controller for a highly dynamic parallel orientation manipulator.

Taufiqur Rahman; Dion Hicks; M. Raju Hossain; Nicholas Krouglicof

This paper details the development of a tracking controller for a highly dynamic parallel orientation manipulator that is capable of achieving high angular acceleration. The adopted control algorithm is derived from the active disturbance rejection control (ADRC) technology. The ADRC algorithm must be evaluated on the control hardware at a frequency consistent with the dynamics of the system without creating any inter-channel latency for a successful implementation. In this regard, the field programmable gate array (FPGA) is preferred because of its superior speed and parallelism. While there is a clear demand for FPGA controllers in the military and the aerospace domain because of the improved SWaP (size, weight, and power) capabilities, the literature provides a few examples of such controllers that mostly employ expensive high logic density FPGA chips. In contrast, this paper describes how an advanced controller can be efficiently prototyped on a relatively low-cost, low logic density FPGA hardware. The controller was tested in a co-simulation approach (wherein the digital implementation of the control algorithm and the dynamics of the manipulator are simulated together) to ensure a robust FPGA implementation. In addition, a hardware evaluation was also conducted using a linear voice coil actuator under varying inertial loads. Experimental results obtained from the simulation study and hardware testing confirm the robust performance of the designed controller.


intelligent robots and systems | 2013

Development of a novel PCB-based voice coil actuator for opto-mechatronic applications

Nicholas Krouglicof; Michael Morgan; Nikhil Pansare; Taufiqur Rahman; Dion Hicks

Voice-coil actuators are the simplest form of electric motor consisting of a non-commutated single coil or winding moving through a fixed magnetic field produced by stationary permanent magnets. From a system design point of view, however, it is generally the end users responsibility to couple the voice-coil actuator with a linear bearing system, position feedback device, switch-mode or linear servo amplifier, and motion controller. The integration of multiple discrete components adversely affects system reliability and renders minimization and packaging difficult particularly when multiple actuators are required. In response to this demand, a novel, low-inertia voice coil actuator has been developed whereby the traditional moving coil is replaced with a printed circuit board (PCB) that incorporates the necessary windings as conductive traces on one or more layers of the board. The result is a compact, highly integrated, highly reliable design that is simple to mass-produce using conventional PCB manufacturing and assembly techniques.


Journal of Mechanical Design | 2012

Kinematic Synthesis of Nonspherical Orientation Manipulators: Maximization of Dexterous Regular Workspace by Multiple Response Optimization

Taufiqur Rahman; Nicholas Krouglicof; Leonard Lye


Fisheries Research | 2015

Bruising patterns in commercially harvested yellowtail flounder (Limanda ferruginea)

Jessica L. Kenney; Taufiqur Rahman; Heather Manuel; Paul D. Winger


Archive | 2013

Parallel Kinematic Mechanism and Bearings and Actuators Thereof

Nick Krouglicof; Taufiqur Rahman; Levi Macneil; Michael Morgan; Nikhil Pansare; Dion Hicks; Matthew Roberts


2013 OCEANS - San Diego | 2013

Calibration of an underwater stereoscopic vision system

Taufiqur Rahman; James Anderson; Paul D. Winger; Nicholas Krouglicof


Archive | 2012

Evaluation of Dynamic Performance of Non-Spherical Parallel Orientation Manipulators through Bond Graph Multi-Body Simulation

Taufiqur Rahman; Geoff Rideout; Nicholas Krouglicof


2013 OCEANS - San Diego | 2013

An agile single board quadrotor providing “eye in the sky” capabilities for marine environments

Mohammed Raju Hossain; Taufiqur Rahman; Nicholas Krouglicof


NECEC 2008. | 2008

Geometric Camera Calibration Using 3D Spherical Target

Taufiqur Rahman; Nicholas Krouglicof

Collaboration


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Nicholas Krouglicof

Memorial University of Newfoundland

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Dion Hicks

Memorial University of Newfoundland

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Michael Morgan

Memorial University of Newfoundland

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Nikhil Pansare

Memorial University of Newfoundland

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Levi Macneil

Memorial University of Newfoundland

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Matthew Roberts

Memorial University of Newfoundland

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Nick Krouglicof

Memorial University of Newfoundland

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Paul D. Winger

Memorial University of Newfoundland

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Geoff Rideout

Memorial University of Newfoundland

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Heather Manuel

Memorial University of Newfoundland

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