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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, Anas updated both build processes and data structures to support Kalman-based navigation, enabling more robust processing of sensor data. The work involved resolving merge conflicts and stabilizing the integration to ensure safe incorporation into the main codebase. Although the contribution spanned one feature over a month, the depth of engineering addressed core navigation challenges, laying groundwork for improved reliability in flight computer systems through advanced filtering and software refactoring techniques.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
267
Activity Months1

Work History

March 2025

2 Commits • 1 Features

Mar 1, 2025

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.

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

Repositories Contributed To

1 repo

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

EPFLRocketTeam/2024_C_AV_RPI

Mar 2025 Mar 2025
1 Month active

Languages Used

C++CMake

Technical Skills

C++CMakeEmbedded SystemsKalman FilterSensor FusionSoftware Refactoring