OpenHUTB/nn
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
AI integrationDrone ControlGesture RecognitionOpenCVPerformance AnalysisPython programming
xiaoshiyuan888
PROFILE
Xiaoshiyuan888
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
12
Lines of code
18,620
Activity Months1
Your Network
159 people
Work History
December 2025
21 Commits • 12 Features
Dec 1, 2025Summary for 2025-12 (OpenHUTB/nn): Delivered core drone gesture control with optimized main logic and camera processing; introduced gesture trajectory recording and playback for AirSim; added advanced flight control features including automatic flight mode, circular hover, and figure-8 paths with altitude control; and expanded observability via a performance analytics system with a modular refactor and ROS wrapper configuration. Major bug fixes included resolving Chinese font rendering issues (no more question marks), addressing position-sensitive gesture inconsistencies to improve full-screen gesture detection, and UI/UX refinements for single-finger recognition and voice feedback. Overall impact: enabled safer, gesture-driven autonomous drone operations, improved testability and demos through trajectory replay, greater visibility into performance and resource usage, and a maintainable modular codebase that supports rapid iteration. Technologies/skills demonstrated: AirSim simulation integration, computer vision and gesture recognition, ROS integration, real-time performance profiling and UI charts, modular architecture, cross-platform voice feedback, and multilingual UI.
21 Commits • 12 Features
Dec 1, 2025Summary for 2025-12 (OpenHUTB/nn): Delivered core drone gesture control with optimized main logic and camera processing; introduced gesture trajectory recording and playback for AirSim; added advanced flight control features including automatic flight mode, circular hover, and figure-8 paths with altitude control; and expanded observability via a performance analytics system with a modular refactor and ROS wrapper configuration. Major bug fixes included resolving Chinese font rendering issues (no more question marks), addressing position-sensitive gesture inconsistencies to improve full-screen gesture detection, and UI/UX refinements for single-finger recognition and voice feedback. Overall impact: enabled safer, gesture-driven autonomous drone operations, improved testability and demos through trajectory replay, greater visibility into performance and resource usage, and a maintainable modular codebase that supports rapid iteration. Technologies/skills demonstrated: AirSim simulation integration, computer vision and gesture recognition, ROS integration, real-time performance profiling and UI charts, modular architecture, cross-platform voice feedback, and multilingual UI.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability78.0%
Architecture80.0%
Performance78.0%
AI Usage42.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI integrationDrone ControlGesture RecognitionOpenCVPerformance AnalysisPython programmingUI DevelopmentUI developmentalgorithm optimizationaudio feedbackaudio processingcomputer visiondata analysisdrone controldrone programming
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