ISSUIUC/MIDAS-Software
Jan 2025 – Oct 2025
3 Months active
Languages Used
C++C
Technical Skills
Embedded SystemsIMUQuaternion MathematicsSensor FusionSensor IntegrationAerospace Engineering
Divij
PROFILE
Divij
Divia contributed to the ISSUIUC/MIDAS-Software repository by developing and refining embedded flight control features over three months. She integrated the BNO08x IMU for reliable orientation tracking, implementing quaternion mathematics and sensor fusion to expose multi-sensor data for downstream analytics. Her work included refactoring the Extended Kalman Filter to incorporate aerodynamic coefficients and motor thrust curves, improving state estimation accuracy under dynamic conditions. Using C and C++, she enhanced the autopilot loop with robust state estimation and thrust computation, addressed compile-time and logic bugs, and ensured clean initialization and configuration, demonstrating depth in control systems, sensor integration, and aerospace engineering.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
3
Lines of code
1,433
Activity Months3
Your Network
19 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key accomplishments include delivering EKF enhancements for flight state estimation with aerodynamic coefficients and motor thrust curves; enabling clean startup and configurable process-noise covariance; merging GNC final into Main. No major bugs reported this month; minor Q and x_init changes applied to stabilize the EKF. Impact: improved estimation accuracy and robustness, enabling safer flight control under varying aerodynamic conditions. Technologies/skills: Extended Kalman Filter, GNC integration, data structure design for aerodynamic coefficients and thrust curves, initialization/update tuning, version control merge.
2 Commits • 1 Features
Oct 1, 2025Month: 2025-10 — Key accomplishments include delivering EKF enhancements for flight state estimation with aerodynamic coefficients and motor thrust curves; enabling clean startup and configurable process-noise covariance; merging GNC final into Main. No major bugs reported this month; minor Q and x_init changes applied to stabilize the EKF. Impact: improved estimation accuracy and robustness, enabling safer flight control under varying aerodynamic conditions. Technologies/skills: Extended Kalman Filter, GNC integration, data structure design for aerodynamic coefficients and thrust curves, initialization/update tuning, version control merge.
October 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: ISSUIUC/MIDAS-Software monthly work summary focusing on state estimation and thrust computation enhancements, EKF refactor, and FSM robustness. This period delivered a more robust autopilot loop with improved state estimation, reliable thrust calculation, and targeted bug fixes that reduce risk in dynamic flight conditions.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: ISSUIUC/MIDAS-Software monthly work summary focusing on state estimation and thrust computation enhancements, EKF refactor, and FSM robustness. This period delivered a more robust autopilot loop with improved state estimation, reliable thrust calculation, and targeted bug fixes that reduce risk in dynamic flight conditions.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for ISSUIUC/MIDAS-Software focused on enabling reliable IMU-based orientation tracking and stabilizing the Orientation processing path. Delivered the initial integration of the BNO08x IMU, exposing multi-sensor data and providing a foundation for sensor fusion. Resolved critical compile-time issues to ensure stable builds and downstream consumption of orientation metrics.
3 Commits • 1 Features
Jan 1, 2025January 2025 performance summary for ISSUIUC/MIDAS-Software focused on enabling reliable IMU-based orientation tracking and stabilizing the Orientation processing path. Delivered the initial integration of the BNO08x IMU, exposing multi-sensor data and providing a foundation for sensor fusion. Resolved critical compile-time issues to ensure stable builds and downstream consumption of orientation metrics.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance62.4%
AI Usage22.4%
Skills & Technologies
Programming Languages
CC++
Technical Skills
AerodynamicsAerospace EngineeringC++Control SystemsEmbedded SystemsIMUKalman FiltersQuaternion MathematicsSensor FusionSensor Integration
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