MissouriMRR/SUAS-2025
Feb 2025 – Apr 2025
3 Months active
Languages Used
PythonWaypointWaypoint Configuration
Technical Skills
Drone ControlPythonState MachineBackend DevelopmentComputer VisionConfiguration Management
DJDMVP
PROFILE
Djdmvp
During a three-month period, Daniel Donovan enhanced the MissouriMRR/SUAS-2025 repository by developing and refining drone mission software with a focus on reliability and field readiness. He implemented robust airdrop state logic, dynamic camera parameter handling, and a 3-mile waypoint feature for long-range testing, using Python and configuration-driven approaches. His work included iterative cylinder selection, servo-based drop logic, and environment-aware camera configuration, reducing external dependencies and improving simulation accuracy. Daniel also addressed geospatial data precision and corrected gimbal attitude calculations, demonstrating depth in backend development, computer vision, and geospatial data handling while ensuring maintainable, testable, and consistent mission software.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
5
Lines of code
612
Activity Months3
Your Network
7 people
Work History
April 2025
4 Commits • 1 Features
Apr 1, 2025Summary for 2025-04: Delivered critical enhancements and bug fixes in MissouriMRR/SUAS-2025 to advance long-range testing and field readiness. Key features include 3-Mile SUAS Mission Waypoints with distance data and unit standardization to meters. Major fixes addressed golf data boundaries precision and gimbal attitude calculation, improving geographic data integrity and drone control accuracy. These changes reduce testing risk, improve data consistency, and demonstrate strong proficiency in geospatial data handling, flight-planning data pipelines, and real-time attitude math.
4 Commits • 1 Features
Apr 1, 2025Summary for 2025-04: Delivered critical enhancements and bug fixes in MissouriMRR/SUAS-2025 to advance long-range testing and field readiness. Key features include 3-Mile SUAS Mission Waypoints with distance data and unit standardization to meters. Major fixes addressed golf data boundaries precision and gimbal attitude calculation, improving geographic data integrity and drone control accuracy. These changes reduce testing risk, improve data consistency, and demonstrate strong proficiency in geospatial data handling, flight-planning data pipelines, and real-time attitude math.
April 2025
March 2025
7 Commits • 3 Features
Mar 1, 2025March 2025: Delivered configurable, cross-environment improvements to the MissouriMRR/SUAS-2025 project, enhancing reliability, configurability, and mission readiness with minimal external dependencies. Implemented data-loading simplifications, robust airdrop state handling, and environment-aware camera parameters to support both AirSim and real-world deployments.
March 2025
7 Commits • 3 Features
Mar 1, 2025March 2025: Delivered configurable, cross-environment improvements to the MissouriMRR/SUAS-2025 project, enhancing reliability, configurability, and mission readiness with minimal external dependencies. Implemented data-loading simplifications, robust airdrop state handling, and environment-aware camera parameters to support both AirSim and real-world deployments.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for MissouriMRR/SUAS-2025: Delivered key enhancement to Airdrop cylinder selection, improving robustness and system stability during deployment sequences. Implemented iterative cylinder selection within the Airdrop state and updated fallback behavior to return to Mapping state if no loaded cylinders are available. Prepared placeholders for servo control logic and aligned simulation config for odlc search path. No critical bugs logged this month; primary focus on feature delivery and groundwork for future servo integration.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for MissouriMRR/SUAS-2025: Delivered key enhancement to Airdrop cylinder selection, improving robustness and system stability during deployment sequences. Implemented iterative cylinder selection within the Airdrop state and updated fallback behavior to return to Mapping state if no loaded cylinders are available. Prepared placeholders for servo control logic and aligned simulation config for odlc search path. No critical bugs logged this month; primary focus on feature delivery and groundwork for future servo integration.
February 2025
Activity
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Quality Metrics
Correctness87.4%
Maintainability86.6%
Architecture80.8%
Performance78.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonWaypointWaypoint Configuration
Technical Skills
Backend DevelopmentBug FixingComputer VisionConfiguration ManagementData HandlingData StructuresDrone ControlDrone ProgrammingDrone SoftwareDrone Software DevelopmentFlight ControlFlight SoftwareGeometryGeospatial Data HandlingJSON Handling
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