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        <title>Use Case #4 Drone</title>
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        <description>Use Case #4 Drone

The Drone (SUT, PRO) use case focuses on unmanned aerial vehicle (UAV) systems that bridge aviation safety principles with autonomous mobility education. Developed through Prodron’s extensive experience in UAV training and system design, this use case explores real-world challenges such as emergency response, navigation under uncertainty, sensor fusion, and communication reliability. The drones operate using open-source frameworks like ArduPilot and QGroundControl, supporting …</description>
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The F1TENTH platform is an open-source, small-scale autonomous racing car designed for research and education in autonomous systems. Built on a 1/10-scale RC chassis, it integrates sensors such as LiDAR, camera, and IMU, all running on a ROS2-based control stack. Its modular architecture allows experiments in perception, planning, and control, while remaining low-cost and portable for classroom and laboratory use. The platform is supported by an active international communit…</description>
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        <title>Use Case #1 AV Shuttle</title>
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Autonomous Vehicle Validation through Scenario-Based Simulation and Domain Analysis



This use case is the final validation task of the autonomous vehicle practical course. It builds on the previous course sections, where students first learn Linux, Git, programming, and ROS 2; then perform TurtleBot mapping and autonomous navigation; then use Autoware for mission planning; and finally validate autonomous driving behavior using Autoware Software-in-the-Loop simulation, S…</description>
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        <title>Use Case #3 Mobile Robot</title>
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        <description>Use Case #3 Mobile Robot

The Mobile Robot (RTU) use case focuses on cooperative indoor logistics systems designed to demonstrate autonomous navigation, coordination, and task management in controlled environments. The setup consists of two mobile robot platforms, a central server for planning and task distribution, and MQTT-based communication for asynchronous message exchange. Each robot operates under a ROS2-based control architecture integrating LiDAR, camera, and deep learning–based segment…</description>
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