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This paper addresses the problem of finding optimal trajectories for multiple autonomous systems. Mixed integer linear programming (MILP) is described for designing time and energy- or fuel-optimal maneuvers that account for the presence of other vehicles. The paper shows how integer constraints can be added to linear programming to account for obstacle… (More)
Tracking moving targets is one of the important tasks in autonomous systems such as security and surveillance systems and unmanned aerial vehicles (UAV). When the camera system is stationery, background subtraction is a commonly used technique for segmenting out moving objects in a scene. In this paper we present two filters designed to remove the clutter… (More)
Feature extraction of a disturbed power signal provides information that helps to detect the responsible fault for power quality disturbance. A precise and faster feature extraction tool helps power engineers to monitor and maintain power disturbances more efficiently. This paper uses adaptive harmonic wavelet transform as a power quality feature extraction… (More)
A convex mirror coupled with a traditional camera is often used to obtain a 360 degree view of the environment. In this paper we study the construction of perspective views from 360 degree images obtained from a vision system that utilizes a hyperbolic mirror and a camera.
The detection performance of maritime radars is restricted by the unwanted sea echo or clutter. Although the number of these target-like data is small, they may cause false alarm and perturb the target detection. K-distribution is known as the best fit probability density function for the radar sea clutter. This paper proposes a novel approach to estimate… (More)
Tracking of moving objects in a video stream captured from a camera is a very important step in computer vision based applications. This paper provides a novel framework for tracking moving objects in a closed environment using a composite array of inexpensive, off the shelf cameras.
Circulating fluidized beds (CFB) are widely used in energy industries for increasing the efficiency and reducing environment pollution. CFB modeling and identification have significant importance for operation optimization. Owing to the nonlinear nature of CFB operation, online CFB modeling and identification are highly desirable so that the model can… (More)
The current/voltage analysis of switched-capacitor networks is presented. The approach is a simple and more general alternative to the existing charge/voltage analysis. Switched capacitor networks are analyzed, using the rules of classical network theory. The pulse impedance of a switched capacitor is obtained and the impedance concept is retained.… (More)