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
Clement Favre contributed to the EPFLRocketTeam/2024_C_AV_RPI repository by integrating Kalman filter outputs into navigation data structures, enabling robust event handling and serialization for improved navigation reliability. He developed comprehensive unit tests in C++ to validate sensor status registers, propulsion sensors, and navigation data, ensuring data integrity and early regression detection. Clement also realigned the PropSensors struct with the GoatReg enum to enhance maintainability. When the data module was under construction, he maintained test suite stability by temporarily disabling specific assertions, allowing parallel development to continue. His work demonstrated depth in C++ development, embedded systems, and data management.
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 people
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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