EPFLRocketTeam/2024_C_AV_RPI
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++CMake
Technical Skills
C++CMakeEmbedded SystemsKalman FilterSensor FusionSoftware Refactoring
AnasHimmi
PROFILE
Anashimmi
Anas Himmi integrated a Kalman Filter into the EPFLRocketTeam/2024_C_AV_RPI flight computer navigation pipeline, focusing on enhancing sensor fusion and state estimation for embedded systems. Using C++ and CMake, he updated both build processes and data structures to support Kalman-based navigation, enabling more robust processing of sensor data. His work included resolving merge conflicts and stabilizing the integration to ensure safe deployment into the main branch. The feature was prepared for pull request review, with all commits documented and changes refactored for maintainability. This contribution demonstrated depth in embedded software engineering and advanced algorithm implementation within a complex codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
267
Activity Months1
Your Network
123 people
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025Monthly 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.
2 Commits • 1 Features
Mar 1, 2025Monthly 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.
March 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
C++CMakeEmbedded SystemsKalman FilterSensor FusionSoftware Refactoring
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