OpenHUTB/nn
Apr 2026 – May 2026
2 Months active
Languages Used
Python
Technical Skills
AirSimAirSim integrationPythonPython programmingcollision detectiondrone programming
yao-le-54
PROFILE
Yao-le-54
Developed core autonomous drone flight simulation features for the OpenHUTB/nn repository, focusing on safety controls, RGB camera integration, and robust data collection workflows. Leveraged Python and AirSim to implement end-to-end UAV flight lifecycles, including takeoff, cruise, landing, manual takeover, collision recovery, and return-to-launch with speed control. Enhanced the simulation with multi-mode camera capture, keyboard controls, and a dedicated data labeling module for collision prediction model training. Improved project maintainability through codebase refactoring, standardized naming conventions, and updated documentation, aligning the workflow for scalable testing and model iteration while supporting machine learning-driven collision avoidance research and development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
3
Lines of code
3,895
Activity Months2
Your Network
263 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary focusing on delivering a data-collection and labeling capability for UAV autonomy, codebase improvements, and workflow enhancements to accelerate model training for collision avoidance.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary focusing on delivering a data-collection and labeling capability for UAV autonomy, codebase improvements, and workflow enhancements to accelerate model training for collision avoidance.
May 2026
April 2026
7 Commits • 2 Features
Apr 1, 2026OpenHUTB/nn – April 2026: Delivered core autonomous drone flight simulation with safety controls and RGB camera integration, enhancing realism, safety, and data capture for autonomous flight testing. Implemented end-to-end flight lifecycle (takeoff, cruise, landing) with manual takeover, collision recovery, return-to-launch, and speed control. Added multi-mode RGB camera capture with keyboard controls and improved camera data workflow. Performed extensive codebase cleanup and refactoring (snake_case), updated documentation, and prepared groundwork for CI/CD readiness.
April 2026
7 Commits • 2 Features
Apr 1, 2026OpenHUTB/nn – April 2026: Delivered core autonomous drone flight simulation with safety controls and RGB camera integration, enhancing realism, safety, and data capture for autonomous flight testing. Implemented end-to-end flight lifecycle (takeoff, cruise, landing) with manual takeover, collision recovery, return-to-launch, and speed control. Added multi-mode RGB camera capture with keyboard controls and improved camera data workflow. Performed extensive codebase cleanup and refactoring (snake_case), updated documentation, and prepared groundwork for CI/CD readiness.
Activity
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Quality Metrics
Correctness87.6%
Maintainability82.4%
Architecture82.4%
Performance82.4%
AI Usage35.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AirSimAirSim integrationPythonPython programmingcollision detectiondata collectiondrone programmingdrone simulationimage processingkeyboard controlmachine learningmanual controlsimulationsoftware development
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