Browsing Theses & Dissertations by Subject "Embedded computer systems"
Now showing items 1-7 of 7
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Design and implementation of embedded multi-sensor outdoor robot localization system using FPGA
Recently, there has been a significant increase in the interest for robots. However, manually navigating a robot requires a skilled pilot who has high constant concentration levels for sustained periods. Therefore, strong ... -
Design and implementation of embedded tracking system using spatial parallelism on FPGA for robotics
The robot tracking system is one type of utilization system on a mobile robot and generally utilized as a part of numerous perspectives, for example, security or military. In this project, an active and passive robot ... -
Design and implementation of embedded true parallelism jammer system using FGPA-SoC for low design complexity
The condition that drives a system to complete the processing of a number of functions within a given amount of time is called the real-time system. A projective missile system’s processing platforms face two major issues: ... -
Design and implementation of embedded vision-based tracking system using FPGA-SoC
An implemented vision based tracking system has become an important application of embedded in the field of vision and surveillance systems. Object tracking is a fundamental component of embedded vision that is very ... -
A hybrid input - output based relation test suite generation strategy
The cause of large enumeration space the systemized sample test data have the active research to meet t-way testing strategies during the previous 20 years Hence that (t) indicates to interaction strength Despite of ... -
Image denoising in wavelet and spatial domain
The goal of any de-noising technique is to remove noise from an image which is the first step in any image processing. The noise removal method should be applied watchful manner otherwise artefacts can be introduced which ... -
Implementation of a cloud based embedded platform for object detection and recognition
With the recent advancements in deep learning-based computer vision models, object detection and recognition applications such as video surveillance, Bio-Imaging, autonomous cars are increasing in number. Object detection ...