Avionics-Propulsion-Landers-GT/MonopropUAV
Jul 2026 – Jul 2026
1 Month active
Languages Used
No languages
Technical Skills
Data VisualizationInertial NavigationKalman FilteringLinear AlgebraPythonRust
AwesomeAdam1
PROFILE
Awesomeadam1
Developed a robust inertial navigation module for the MonopropUAV repository, focusing on an Error-State Extended Kalman Filter (ES-EKF) with quaternion-state representation to address gimbal lock and unit-norm challenges. The work included implementing the core filter logic, a rocket state model, and a smoke test driver, all supported by comprehensive documentation and updated usage examples. Leveraging Python and Rust, along with expertise in linear algebra and data visualization, the module was designed for numerical stability and ease of integration. This feature-centric effort enhanced deployment readiness and provided a solid foundation for future field testing, without requiring major bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,201
Activity Months1
Your Network
23 peopleShared Repositories
23
Work History
July 2026
1 Commits • 1 Features
Jul 1, 2026Month 2026-07 focused on delivering a robust inertial navigation capability through the ES-EKF. Key accomplishment: core ES-EKF-based navigation module with quaternion-state representation, rocket state model, smoke test driver, and comprehensive documentation to enable deployment and usage. This work enhances navigation robustness, mitigates gimbal lock and unit-norm issues, and positions MonopropUAV for faster integration and field deployment. No major bug fixes were recorded this month; primary value came from feature delivery and improved testing readiness.
1 Commits • 1 Features
Jul 1, 2026Month 2026-07 focused on delivering a robust inertial navigation capability through the ES-EKF. Key accomplishment: core ES-EKF-based navigation module with quaternion-state representation, rocket state model, smoke test driver, and comprehensive documentation to enable deployment and usage. This work enhances navigation robustness, mitigates gimbal lock and unit-norm issues, and positions MonopropUAV for faster integration and field deployment. No major bug fixes were recorded this month; primary value came from feature delivery and improved testing readiness.
July 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
No languages yet
Technical Skills
Data VisualizationInertial NavigationKalman FilteringLinear AlgebraPythonRust
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