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thesis.php
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GEAR Lab - Proposed Thesis</title>
<link rel="icon" type="image/x-icon" href="images/favicon.ico">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.2/css/bootstrap.min.css">
<link rel="stylesheet" type="text/css" href="style/style.css">
</head>
<body>
<!-- Navbar -->
<?php include_once('layout/header.html'); ?>
<!-- Section -->
<section class="block-section">
<div class="container">
<br>
<h2><b>Proposed Thesis</b></h2>
<br>
<div class="box">
<h2>2024</h2>
<div class="block-content">
<ul>
<li>Develop an API tailored to DJI SDK 5.x, focusing specifically on compatibility
with the DJI Mini 3 Pro drone. While the official API does not support autonomous flight
missions
using the Wayline method with these drones, it does support the Virtual Stick method. Therefore,
the Virtual Stick method needs to be adapted to mimic the functionality of the Wayline method.
Proficiency in Android Studio and the Java programming language is necessary for this task.
</li>
<li>Develop a sensor localization system utilizing Ultra Wide Band (UWB) antennas, specifically
leveraging the PDoA kit from DecaWave. The objective is to create a system that can be utilized
by drones to localize ground sensors. This project involves both theoretical exploration and
practical implementation tasks. Proficiency in Raspberry Pi, Linux commands, C programming
language, and some hardware skills are necessary for successful execution.
</li>
<li>Develop a cross-platform app for semi-automatic annotation of an image dataset within the bug
detection system context. The app takes model predictions as input and should allow users to
confirm correct/incorrect bounding boxes and verify accurate annotations. Additionally, it
should enable the suggestion of bounding boxes missed by the model and facilitate the insertion
and validation of annotations using a certain selection mechanism. Possible environments include
Xamarin (C# or .NET) or Flutter (Java or Kotlin).
</li>
<li class="crossed-out">"Improve the comparison of weather data from established datasets with that
collected by a custom microclimate station located within an orchard. This requires thorough
analysis of diverse sources to assess bug detection rates in relation to current weather
conditions and geographic location. Additionally, participate in configuring a Jetson Nano on
the DJI Matrice 300 RTK to conduct machine learning-based recognition tasks as part of our
continuous endeavors."
</li>
</ul>
</div>
</div>
<div class="box">
<h2>2023</h2>
<div class="block-content">
<ul>
<li class="crossed-out">Preliminary comparison of weather data between Arpae dataset and a custom
microclimate station located inside an orchard.
</li>
</ul>
</div>
</div>
<div class="box">
<h2>2022</h2>
<div class="block-content">
<ul>
<li class="crossed-out">Implementation of drone-based delivery algorithms in a mixed
Euclidean-Manhattan Grids.
</li>
</ul>
</div>
</div>
<br>
<br>
<br>
<br>
</div>
</section>
<!-- Footer -->
<?php include_once('layout/footer.html'); ?>
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</html>