lasp/basilisk
Apr 2025 – Oct 2025
6 Months active
Languages Used
C++PythonRSTCOpenCV
Technical Skills
Aerospace EngineeringC++C++ DevelopmentCovariance MappingEmbedded SystemsNavigation Systems
Safa Al Hosani
PROFILE
Safa Al Hosani
Safa Alhosani developed and enhanced optical navigation and image processing modules in the lasp/basilisk repository, focusing on robust state estimation and maintainable code. Over six months, Safa implemented Center of Mass covariance mapping and correction features in C++ and Python, refactored the Center of Brightness algorithm for modularity and configurability, and expanded unit test coverage to validate analytical derivatives and algorithmic variations. The work included detailed documentation of mathematical derivations, improved error handling, and code hygiene refinements. By integrating scientific computing techniques and leveraging the C++ Standard Library, Safa delivered reliable, testable solutions that improved navigation accuracy and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
11
Lines of code
1,428
Activity Months6
Your Network
23 people
Work History
October 2025
8 Commits • 4 Features
Oct 1, 2025Month: 2025-10. Focused on CenterOfBrightness improvements in lasp/basilisk, delivering core refactor, configurability, tests, and metadata updates. These changes improve reliability, configurability, and maintainability, enabling faster iterations and higher-quality releases.
8 Commits • 4 Features
Oct 1, 2025Month: 2025-10. Focused on CenterOfBrightness improvements in lasp/basilisk, delivering core refactor, configurability, tests, and metadata updates. These changes improve reliability, configurability, and maintainability, enabling faster iterations and higher-quality releases.
October 2025
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 (lasp/basilisk): Delivered robust enhancements to the Center of Brightness (COB) algorithm and its validation suite, with a focus on reliability, maintainability, and clear error signaling. Refactors in the C++ COB implementation improved error handling, code formatting, and readability, complemented by targeted test changes. Added unit test assets and helpers for time closest approach (TCA) and COB to strengthen test coverage and reduce regression risk. These efforts reduce defect escape, streamline future work, and enable faster feature delivery.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 (lasp/basilisk): Delivered robust enhancements to the Center of Brightness (COB) algorithm and its validation suite, with a focus on reliability, maintainability, and clear error signaling. Refactors in the C++ COB implementation improved error handling, code formatting, and readability, complemented by targeted test changes. Added unit test assets and helpers for time closest approach (TCA) and COB to strengthen test coverage and reduce regression risk. These efforts reduce defect escape, streamline future work, and enable faster feature delivery.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 — lasp/basilisk: Delivered feature enhancements and code-quality improvements with a focus on reliability and maintainability. Key features delivered: TimeClosestApproach Documentation and TCA Variation Testing; Code Hygiene Refinement: Use const reference parameter. No major bugs fixed this month. Overall impact: improved reliability of the timeClosestApproach-based navigation calculations, clearer usage documentation, and safer, more efficient code paths with greater test coverage. Technologies/skills demonstrated: C++ (const-correctness, efficient parameter passing), reST documentation updates, and dedicated unit tests for algorithm variation.
3 Commits • 2 Features
Jul 1, 2025July 2025 — lasp/basilisk: Delivered feature enhancements and code-quality improvements with a focus on reliability and maintainability. Key features delivered: TimeClosestApproach Documentation and TCA Variation Testing; Code Hygiene Refinement: Use const reference parameter. No major bugs fixed this month. Overall impact: improved reliability of the timeClosestApproach-based navigation calculations, clearer usage documentation, and safer, more efficient code paths with greater test coverage. Technologies/skills demonstrated: C++ (const-correctness, efficient parameter passing), reST documentation updates, and dedicated unit tests for algorithm variation.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk focusing on feature delivery and quality improvements, with no major bugs fixed. Key feature delivered: Center of Mass (CoM) correction partials unit test in the Optical Navigation module, which validates analytical derivatives against numerical simulations and includes plotting capabilities to visualize the comparison. This work strengthens the accuracy and reliability of state estimation, reduces risk in CoM partials, and expands test coverage for critical estimation components.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk focusing on feature delivery and quality improvements, with no major bugs fixed. Key feature delivered: Center of Mass (CoM) correction partials unit test in the Optical Navigation module, which validates analytical derivatives against numerical simulations and includes plotting capabilities to visualize the comparison. This work strengthens the accuracy and reliability of state estimation, reduces risk in CoM partials, and expands test coverage for critical estimation components.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 focused on enhancing the Center of Mass covariance documentation in lasp/basilisk to clarify the mathematical derivations, state dependencies, and frame transformations. The update improves the reliability of covariance propagation used in state estimation by making the CoM error contributions explicit, including filter position covariance and object radius uncertainty, and clarifying the body-frame transformation and integration with other covariance terms. This work is tracked in commit 467b09bc8db4e5e2bf25450545325d5ee7ee0f4e.
1 Commits • 1 Features
May 1, 2025May 2025 focused on enhancing the Center of Mass covariance documentation in lasp/basilisk to clarify the mathematical derivations, state dependencies, and frame transformations. The update improves the reliability of covariance propagation used in state estimation by making the CoM error contributions explicit, including filter position covariance and object radius uncertainty, and clarifying the body-frame transformation and integration with other covariance terms. This work is tracked in commit 467b09bc8db4e5e2bf25450545325d5ee7ee0f4e.
May 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lasp/basilisk focused on advancing optical navigation accuracy under object radius uncertainty by implementing Center of Mass (CoM) covariance handling and mapping in C++, with associated test coverage and radius-uncertainty support added to CobConverter.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for lasp/basilisk focused on advancing optical navigation accuracy under object radius uncertainty by implementing Center of Mass (CoM) covariance handling and mapping in C++, with associated test coverage and radius-uncertainty support added to CobConverter.
Activity
Loading activity data...
Quality Metrics
Correctness90.0%
Maintainability91.0%
Architecture87.6%
Performance79.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++OpenCVPythonRST
Technical Skills
Aerospace EngineeringAlgorithm RefactoringAstrodynamicsC++C++ DevelopmentC++ Standard LibraryCode CleanupCode MaintenanceCode RefactoringConfiguration ManagementCovariance MappingData VisualizationDocumentationEmbedded SystemsError Handling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline