# IFL

## IFL

- [IFL Overview](https://gtae.gitbook.io/ifl/master.md)
- [Initiation and Training](https://gtae.gitbook.io/ifl/training.md)
- [Calendar and Teams](https://gtae.gitbook.io/ifl/calendar-and-teams.md)
- [Quick Start Guide](https://gtae.gitbook.io/ifl/vicon-integration/quick-start-guide.md): Follow these quick-start checklists each time you use the IFL (this assumes you've already successfully set up your system).
- [Setting up the Vicon PC](https://gtae.gitbook.io/ifl/vicon-integration/setting-up-the-vicon-pc.md)
- [Setting up Vicon Tracker and your object](https://gtae.gitbook.io/ifl/vicon-integration/setting-up.md)
- [Real Time Applications](https://gtae.gitbook.io/ifl/vicon-integration/real-time-applications.md)
- [Connecting to the IFL Network](https://gtae.gitbook.io/ifl/vicon-integration/configuring-communication.md): Information regarding the networking setup of the Vicon system and IFL PC
- [Using Shared Code](https://gtae.gitbook.io/ifl/ifl-codebase/using-shared-code.md)
- [Vicon Local File Write \[Python\]](https://gtae.gitbook.io/ifl/ifl-codebase/vicon-local-file-write-python.md): Using Python on Windows to access the Vicon output stream and log directly to a file
- [Vicon UDP Parsing \[Python\]](https://gtae.gitbook.io/ifl/ifl-codebase/vicon-udp-parsing-python.md): Using Python to parse the Vicon UDP stream without the need for DataStream SDK or an OS
- [Embedded Vicon UDP Receiver \[Arduino/C++\]](https://gtae.gitbook.io/ifl/ifl-codebase/embedded-vicon-udp-receiver.md): Using a WiFi-enabled microcontroller (Particle Photon) to receive and parse the Vicon UDP on a remote vehicle
- [PX4+ROS2 Vicon Receiver](https://gtae.gitbook.io/ifl/ifl-codebase/px4+ros2-vicon-receiver.md): A ROS 2 (C++) package that streams Vicon motion capture data into the PX4 EKF as an external vision source, enabling position and heading fusion for hardware flight experiments
- [Building multi-rotor UAVs](https://gtae.gitbook.io/ifl/other-resources/building-multi-rotor-uavs.md)


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