
During March 2025, work focused on integrating a Kalman Filter into the EPFLRocketTeam/2024_C_AV_RPI repository’s flight computer navigation pipeline. This involved implementing sensor fusion techniques to enhance state estimation, updating both build processes and data structures to support Kalman-based navigation. Using C++ and CMake within an embedded systems context, the developer ensured the new feature was stable and ready for pull request review, resolving merge conflicts and preparing the integration for mainline adoption. The effort centered on robust software refactoring and careful documentation, laying the groundwork for improved navigation data processing without introducing new bugs during the development period.
Monthly summary for 2025-03 focused on EPFLRocketTeam/2024_C_AV_RPI. Key work centered on integrating a Kalman Filter into the Flight Computer Navigation pipeline to improve sensor fusion and state estimation, with updates to build and data structures to support Kalman-based navigation.
Monthly summary for 2025-03 focused on EPFLRocketTeam/2024_C_AV_RPI. Key work centered on integrating a Kalman Filter into the Flight Computer Navigation pipeline to improve sensor fusion and state estimation, with updates to build and data structures to support Kalman-based navigation.

Overview of all repositories you've contributed to across your timeline