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Introduction:
Please change your Discord display name to Firstname Lastname
Introduce yourself in #intro-and-icebreaker
Set Up:
//explain how to set up on local computer
Current CV Architecture Overview:
2022 Computer Vision Architecture Overview
Geolocation
Ground Station Software
link to ground station doc
Object Detection
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New Member Onboarding Package is the onboarding package, please fill out the roster info sheet before going onto the steps for computer vision.
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Computer Vision Architecture Overview is our old architecture document, but I think it's still very useful because the concepts are similar.
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Computer Vision Architecture 2021-2022 is our current architecture, has a lot less detail so only read this if you understands the concepts from #2. The diagram is slightly outdated.
THIS DOC HAS BEEN MOVED TO Autonomy New Member Onboarding
Introduction:
Welcome! We are excited that you have expressed interest in the Autonomy subteam at WARG. To learn about what Autonomy does at WARG, take a look at our introductory presentation:
https://docs.google.com/presentation/d/1vtGV5LZ9wrld2Hfx350mNAzfSEEiilrhzWd7DBN_E8s/edit?usp=sharing
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Setup:
New Member Onboarding is the onboarding package, please follow all steps here!
Autonomy Bootcamp - F23 has instructions for the bootcamp every member must complete
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Current Autonomy Architecture Overview:
All current architecture documents are here: Architecture
We are still transitioning from the 2023 competition to 2024 as the CONOPS has not yet been released by AEAC (ETA 2023 September): https://www.aerialevolution.ca/
Previous architecture documents are here: Architecture Archive
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Autonomy Documentation:
WARG uses Confluence for documentation. Documentation is important! Written communication is an important skill to hone for collaboration. Time is valuable, knowledge is valuable.
Current and future projects: Projects
Autonomy software, including information about repositories: Software
Autonomy hardware: Hardware
Miscellaneous information: Autonomy Knowledge Base
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List of Projects:
NOTE: YOU are responsible for the documentation of any code you write!
ML Model
LTE Communication
Details and timelines for the projects:
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Next Steps:
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https://github.com/UWARG/computer-vision-python & https://github.com/UWARG/Ground-Side-Telemetry are two main github repos that we are working on
List of Projects:
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Ground station - video transmission/receiving
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Ground station - Data telemetry system
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Object detection - model training notebook refactor
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Object detection - ML infrastructure
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Onboarding process (we might want to update it to PyTorch)
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Comms - It didn’t work during competition, integration with firmware)
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Documentation - general code base
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Documentation - competition setup
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flight tests - test branch setup and functionality test (video transmission, Target Acquisition, Geolocation, )
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Extra - 3D Vision research
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- Onboarding#Team-tooling-tasks
- Go to the #project-selection channel on discord, ping Autonomy leads (you can use the tag @Autonomy Leads) and list 5 projects from most to least wanted in the format of 1. 2. 3. 4. 5., and indicate whether you are in person or online this term. (See the pinged message for example) We will try our best to accommodate you.
- Join Autonomy meetings every Monday 9 pm - 10 pm EST in E5-2103 or online.