October 22, 2013
Comments Off on DUAL NEURAL CLASSIFICATION FOR ROBUST FAULT DIAGNOSIS IN ROBOTIC MANIPULATORS
Posted in: Final year projects
Abstract A fault, if undetected, could have catastrophic consequences (in systems such as aircraft, robotic systems and nuclear reactors) and could incur financial losses (such as in a production process). In this paper the artificial neural networks are used for both residual generation and residual analysis. A Multilayer Perceptron (MLP) is employed to reproduce the […]
October 22, 2013
Comments Off on Log-Gabor Filters for Image-Based Vehicle Verification
Posted in: Final year projects
Abstract Vehicle detection based on image analysis has attracted increasing attention in recent years due to its low cost, flexibility, and potential toward collision avoidance. In particular, vehicle verification is especially challenging on account of the heterogeneity of vehicles in color, size, pose, etc. Image-based vehicle verification is usually addressed as a supervised classification problem. […]