EPFLRocketTeam/2024_C_AV_RPI
Mar 2025 – Apr 2025
2 Months active
Languages Used
CC++
Technical Skills
C++C++ DevelopmentData ManagementData StructuresEmbedded SystemsSensor Integration
clemfavre
PROFILE
Clemfavre
Worked on the EPFLRocketTeam/2024_C_AV_RPI repository, focusing on integrating Kalman filter navigation data and enhancing data structure reliability for embedded systems. Developed robust C++ modules to serialize and handle Kalman-based outputs, aligning data structures with enums to improve maintainability and data integrity. Built comprehensive unit tests for sensor integration and navigation data, ensuring early regression detection and safer navigation decisions. Addressed test suite stability by temporarily disabling assertion checks while a core data module was under development, enabling parallel progress. All work emphasized C++ development, data management, and unit testing to support ongoing embedded system integration efforts.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
2
Lines of code
741
Activity Months2
Your Network
9 peopleShared Repositories
9
Work History
April 2025
1 Commits
Apr 1, 2025Concise monthly summary for 2025-04 for EPFLRocketTeam/2024_C_AV_RPI. No new features delivered this month; critical testing stability improvement by temporarily disabling NavData assertion checks due to unimplemented data module. This unblocked parallel development and preserved test suite usability while data module is under construction. Planned re-enable of assertions once data.cpp is implemented. All work to date focused on maintaining progress and setting up for data module integration.
1 Commits
Apr 1, 2025Concise monthly summary for 2025-04 for EPFLRocketTeam/2024_C_AV_RPI. No new features delivered this month; critical testing stability improvement by temporarily disabling NavData assertion checks due to unimplemented data module. This unblocked parallel development and preserved test suite usability while data module is under construction. Planned re-enable of assertions once data.cpp is implemented. All work to date focused on maintaining progress and setting up for data module integration.
April 2025
March 2025
7 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on delivering robust Kalman-based navigation data, expanded testing coverage, and data-structure alignment to improve reliability and maintainability within EPFLRocketTeam/2024_C_AV_RPI. Business value delivered includes safer navigation decisions, earlier regression detection, and reduced maintenance overhead. Key achievements include: 1) Kalman Data Integration and NAV_KALMAN_DATA — integrated Kalman filter outputs into data structures with serialization support and event handling; commits: eea8a193b9cdef0d0565c1367a0a4057dc0c7630, 612e6d1318544d01ac9421578821a9443efab333. 2) Sensor and navigation data testing suite — comprehensive unit tests for sensor status registers, raw navigation sensor data, propulsion sensors, and Event/Valves/AV state data structures to ensure data integrity; commits: 9001b3d344870f9ef3582865b07ff1884e960d7f, a73f25e0ad5473aec39f4cac096fc351ec16935c, e6383765222bee02240ee84afcb90d4d6922a396, fe8b7f80161ea8b2a2e2bf3ff62018c28fc0cb67. 3) PropSensors struct alignment with GoatReg enum — reordered PropSensors members to align with GoatReg enum to improve data integrity and maintainability; commit: e5665ee12464ee7e606ede86141b43147da80455.
March 2025
7 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on delivering robust Kalman-based navigation data, expanded testing coverage, and data-structure alignment to improve reliability and maintainability within EPFLRocketTeam/2024_C_AV_RPI. Business value delivered includes safer navigation decisions, earlier regression detection, and reduced maintenance overhead. Key achievements include: 1) Kalman Data Integration and NAV_KALMAN_DATA — integrated Kalman filter outputs into data structures with serialization support and event handling; commits: eea8a193b9cdef0d0565c1367a0a4057dc0c7630, 612e6d1318544d01ac9421578821a9443efab333. 2) Sensor and navigation data testing suite — comprehensive unit tests for sensor status registers, raw navigation sensor data, propulsion sensors, and Event/Valves/AV state data structures to ensure data integrity; commits: 9001b3d344870f9ef3582865b07ff1884e960d7f, a73f25e0ad5473aec39f4cac096fc351ec16935c, e6383765222bee02240ee84afcb90d4d6922a396, fe8b7f80161ea8b2a2e2bf3ff62018c28fc0cb67. 3) PropSensors struct alignment with GoatReg enum — reordered PropSensors members to align with GoatReg enum to improve data integrity and maintainability; commit: e5665ee12464ee7e606ede86141b43147da80455.
Activity
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Quality Metrics
Correctness92.6%
Maintainability90.0%
Architecture77.6%
Performance92.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
C++C++ DevelopmentData ManagementData StructuresEmbedded SystemsSensor IntegrationUnit Testing
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