lasp/basilisk
Oct 2024 – Oct 2025
10 Months active
Languages Used
C++CMakePythonprotobufCrstEigenSWIG
Technical Skills
Algorithm DevelopmentCode CleanupDebuggingImage ProcessingBuild SystemsC++ Development
tteil
PROFILE
Tteil
Thibaud Teil developed advanced navigation, simulation, and image processing features for the lasp/basilisk repository, focusing on robust state estimation, optical navigation, and data pipeline reliability. He engineered modules such as orbital motion and ephemeris re-centering, integrating C++ and Python with Eigen for efficient numerical computation and data handling. His work included Kalman filter enhancements, protocol buffer-based data exchange, and rigorous unit testing to ensure correctness and maintainability. By refactoring core algorithms and streamlining build systems, Thibaud improved code clarity and test coverage, enabling reproducible validation and safer deployments. His contributions demonstrated depth in aerospace software engineering and algorithm optimization.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
88Total
Bugs
6
Commits
88
Features
32
Lines of code
20,960
Activity Months10
Your Network
23 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. This monthly summary for lasp/basilisk highlights the key business and technical outcomes achieved in October 2025. Key feature delivered: CobConverterAlgorithm: Eigen utility integration, enabling modern, maintainable matrix/vector conversions. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Migrated CobConverterAlgorithm to use the new eigenSupport utilities, replacing deprecated functions, which improves code clarity, maintainability, and integration with the Eigen library for optical navigation computations. This positions the project for easier future enhancements and reduces technical debt. Technologies/skills demonstrated: Eigen library integration, migration to eigenSupport utilities, code refactoring for readability, and maintenance-focused development.
1 Commits • 1 Features
Oct 1, 2025Month: 2025-10. This monthly summary for lasp/basilisk highlights the key business and technical outcomes achieved in October 2025. Key feature delivered: CobConverterAlgorithm: Eigen utility integration, enabling modern, maintainable matrix/vector conversions. Major bugs fixed: None reported for this period. Overall impact and accomplishments: Migrated CobConverterAlgorithm to use the new eigenSupport utilities, replacing deprecated functions, which improves code clarity, maintainability, and integration with the Eigen library for optical navigation computations. This positions the project for easier future enhancements and reduces technical debt. Technologies/skills demonstrated: Eigen library integration, migration to eigenSupport utilities, code refactoring for readability, and maintenance-focused development.
October 2025
September 2025
17 Commits • 3 Features
Sep 1, 2025Sep 2025 monthly summary for lasp/basilisk highlighting feature deliveries, bug fixes, business impact, and technical skills demonstrated. Major enhancements targeted the optical navigation and ephemeris pipelines, driving accuracy, reliability, and maintainability. Delivered a Chebyshev-based ephemeris module overhaul with adapter pattern, added Sun position input for optical navigation, and performed a CobConverter refactor with adapters and a new algorithm, along with code quality and testing/docs improvements across the repo.
September 2025
17 Commits • 3 Features
Sep 1, 2025Sep 2025 monthly summary for lasp/basilisk highlighting feature deliveries, bug fixes, business impact, and technical skills demonstrated. Major enhancements targeted the optical navigation and ephemeris pipelines, driving accuracy, reliability, and maintainability. Delivered a Chebyshev-based ephemeris module overhaul with adapter pattern, added Sun position input for optical navigation, and performed a CobConverter refactor with adapters and a new algorithm, along with code quality and testing/docs improvements across the repo.
July 2025
13 Commits • 6 Features
Jul 1, 2025July 2025 monthly summary for lasp/basilisk focusing on business value, reliability, and technical excellence. The month delivered a set of features to improve simulation fidelity and a series of reliability fixes that tighten messaging, data handling, and tests.
13 Commits • 6 Features
Jul 1, 2025July 2025 monthly summary for lasp/basilisk focusing on business value, reliability, and technical excellence. The month delivered a set of features to improve simulation fidelity and a series of reliability fixes that tighten messaging, data handling, and tests.
July 2025
June 2025
8 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk focusing on reinforcing the Inertial Attitude UKF and strengthening validation practices. Key work concentrated on combining Kalman Filter improvements with robust data-model alignment and reproducible test workflows.
June 2025
8 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for lasp/basilisk focusing on reinforcing the Inertial Attitude UKF and strengthening validation practices. Key work concentrated on combining Kalman Filter improvements with robust data-model alignment and reproducible test workflows.
May 2025
21 Commits • 8 Features
May 1, 2025May 2025 monthly summary for lasp/basilisk: Delivered foundational navigation and data-processing improvements with a focus on reliability, correctness, and maintainability. Key features include a new orbital motion implementation with extensive tests, updated protobuf definitions, and standardized time tagging and measurement naming. Implemented data processing enhancements such as measurement differencing, enhanced filtering with covariance and MRP controls, and support for sub-frame filtering. In parallel, improved developer experience and code quality through pre-commit configuration updates, API simplifications by removing _C messages, and targeted bug fixes. The work reduces data processing errors, improves test coverage, and enables more configurable, auditable behavior in production.
21 Commits • 8 Features
May 1, 2025May 2025 monthly summary for lasp/basilisk: Delivered foundational navigation and data-processing improvements with a focus on reliability, correctness, and maintainability. Key features include a new orbital motion implementation with extensive tests, updated protobuf definitions, and standardized time tagging and measurement naming. Implemented data processing enhancements such as measurement differencing, enhanced filtering with covariance and MRP controls, and support for sub-frame filtering. In parallel, improved developer experience and code quality through pre-commit configuration updates, API simplifications by removing _C messages, and targeted bug fixes. The work reduces data processing errors, improves test coverage, and enables more configurable, auditable behavior in production.
May 2025
April 2025
12 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for lasp/basilisk focused on delivering robust state estimation improvements, stabilizing tests, and simplifying dependencies to accelerate future iterations. Key features delivered include enhanced measurement modeling and navigation data handling, with an emphasis on reliability, test coverage, and maintainability. Overall impact: improved estimation accuracy and stability for SunlineSRuKF and LinearODeKF, more predictable build and dependency resolution, and stronger test reliability, enabling faster delivery of features with lower risk. Technologies/skills demonstrated: Kalman filtering (SunlineSRuKF, LinearODeKF), navigation data handling, unit testing and test reliability improvements, test seed reproducibility, pre-commit hygiene, documentation, and dependency management. Business value: reduced estimator bias risk through a bounded bias term, more accurate navigation timing, clearer test signals and logs for quicker debugging, and easier maintenance via unlocked dependencies and build hygiene.
April 2025
12 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for lasp/basilisk focused on delivering robust state estimation improvements, stabilizing tests, and simplifying dependencies to accelerate future iterations. Key features delivered include enhanced measurement modeling and navigation data handling, with an emphasis on reliability, test coverage, and maintainability. Overall impact: improved estimation accuracy and stability for SunlineSRuKF and LinearODeKF, more predictable build and dependency resolution, and stronger test reliability, enabling faster delivery of features with lower risk. Technologies/skills demonstrated: Kalman filtering (SunlineSRuKF, LinearODeKF), navigation data handling, unit testing and test reliability improvements, test seed reproducibility, pre-commit hygiene, documentation, and dependency management. Business value: reduced estimator bias risk through a bounded bias term, more accurate navigation timing, clearer test signals and logs for quicker debugging, and easier maintenance via unlocked dependencies and build hygiene.
March 2025
1 Commits
Mar 1, 2025In March 2025, the Basilisk project focused on stabilizing the test suite and ensuring parameter fidelity in the CielimInterface tests. A targeted bug fix realigned test parameters for celestial body and spacecraft states to reflect intended simulation parameters (names, shape models, and positional data), improving test reliability and alignment with production configurations. This work lays groundwork for more robust validation as features evolve.
1 Commits
Mar 1, 2025In March 2025, the Basilisk project focused on stabilizing the test suite and ensuring parameter fidelity in the CielimInterface tests. A targeted bug fix realigned test parameters for celestial body and spacecraft states to reflect intended simulation parameters (names, shape models, and positional data), improving test reliability and alignment with production configurations. This work lays groundwork for more robust validation as features evolve.
March 2025
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 performance snapshot for lasp/basilisk: delivered key rendering and image processing enhancements, improved code quality, and reinforced maintainability. Focused on precision in the rendering pipeline, robust image data handling, and streamlined code health to reduce future defect risk and enable faster iteration.
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 performance snapshot for lasp/basilisk: delivered key rendering and image processing enhancements, improved code quality, and reinforced maintainability. Focused on precision in the rendering pipeline, robust image data handling, and streamlined code health to reduce future defect risk and enable faster iteration.
November 2024
9 Commits • 5 Features
Nov 1, 2024November 2024 monthly summary for lasp/basilisk focusing on delivering robust data processing, reliability improvements, and maintainable foundations for future work. Key achievements and outcomes: - Center of Brightness (COB) integration delivered; COB data is retrieved from the camera interface and emitted for downstream use, enabling COB-enabled analytics and visualization. Commits: ca36a2f9739165f2582ccc2bc2c7eb9443db8d23; 5b6e8eed0010823036925c64d6ecd975801e5c00. - Navigation data outlier rejection using positional knowledge sigma implemented; introduces initial-state and trajectory-based filtering to reject implausible states, improving data validity for downstream pipelines. Commit: cc9181eeebc7449251b0b90a7c1c5b595e79257e. - Proto definitions and Python bindings for celestial data added; CielimMessage proto definitions with C++ and Python bindings to enable viz/celestial data exchange; CMake updates included for Python proto support. Commits: 88f719dfee79990450f5538cd1ed19cfadc36240; e38f0bbaef50bf4d3e19a41754424c8cc32545ff. - FlybyPoint unit test enhancement for position knowledge parameterization; tests extended to cover pos_knowledge parameterization for broader coverage. Commit: fa26e7ea29d7867e10c50f0043cd49866748e9b1. - Code hygiene and maintenance: repository cleanliness improvements including excluding generated artifacts and removing trailing whitespace to improve lint/CI stability. Commits: 78d4c335b1c458d5b559b482a762bbd53c1c7e41; 9b0fbfce04d77c08b8ef7d89e628de46b657c888; 4ed1b3e408ff66714ea7fcaee8056293ea79a1dd. Top 3-5 achievements: - Center of Brightness integration enabling downstream COB analytics. - Outlier rejection to improve data validity in navigation data. - Protobuf-based celestial data exchange foundation with Python/C++ bindings. - Expanded unit test coverage for flybyPoint and COB-related changes. - Clean, CI-friendly codebase with artifact management and lint cleanups. Overall impact and business value: - More reliable camera data pipelines and improved downstream analytics readiness. - Foundational data exchange layer to support visualization and cross-language tooling. - Enhanced test coverage and code hygiene reduce risk in CI/CD and future releases. Technologies and skills demonstrated: - Protobuf, CMake, Python bindings, unit testing, test parameterization, code hygiene, version control, and CI-ready workflows.
9 Commits • 5 Features
Nov 1, 2024November 2024 monthly summary for lasp/basilisk focusing on delivering robust data processing, reliability improvements, and maintainable foundations for future work. Key achievements and outcomes: - Center of Brightness (COB) integration delivered; COB data is retrieved from the camera interface and emitted for downstream use, enabling COB-enabled analytics and visualization. Commits: ca36a2f9739165f2582ccc2bc2c7eb9443db8d23; 5b6e8eed0010823036925c64d6ecd975801e5c00. - Navigation data outlier rejection using positional knowledge sigma implemented; introduces initial-state and trajectory-based filtering to reject implausible states, improving data validity for downstream pipelines. Commit: cc9181eeebc7449251b0b90a7c1c5b595e79257e. - Proto definitions and Python bindings for celestial data added; CielimMessage proto definitions with C++ and Python bindings to enable viz/celestial data exchange; CMake updates included for Python proto support. Commits: 88f719dfee79990450f5538cd1ed19cfadc36240; e38f0bbaef50bf4d3e19a41754424c8cc32545ff. - FlybyPoint unit test enhancement for position knowledge parameterization; tests extended to cover pos_knowledge parameterization for broader coverage. Commit: fa26e7ea29d7867e10c50f0043cd49866748e9b1. - Code hygiene and maintenance: repository cleanliness improvements including excluding generated artifacts and removing trailing whitespace to improve lint/CI stability. Commits: 78d4c335b1c458d5b559b482a762bbd53c1c7e41; 9b0fbfce04d77c08b8ef7d89e628de46b657c888; 4ed1b3e408ff66714ea7fcaee8056293ea79a1dd. Top 3-5 achievements: - Center of Brightness integration enabling downstream COB analytics. - Outlier rejection to improve data validity in navigation data. - Protobuf-based celestial data exchange foundation with Python/C++ bindings. - Expanded unit test coverage for flybyPoint and COB-related changes. - Clean, CI-friendly codebase with artifact management and lint cleanups. Overall impact and business value: - More reliable camera data pipelines and improved downstream analytics readiness. - Foundational data exchange layer to support visualization and cross-language tooling. - Enhanced test coverage and code hygiene reduce risk in CI/CD and future releases. Technologies and skills demonstrated: - Protobuf, CMake, Python bindings, unit testing, test parameterization, code hygiene, version control, and CI-ready workflows.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 20242024-10 Monthly Summary: Implemented targeted improvements in lasp/basilisk that enhance image processing accuracy and log hygiene, delivering measurable business value and preparing code for QA and release.
October 2024
2 Commits • 1 Features
Oct 1, 20242024-10 Monthly Summary: Implemented targeted improvements in lasp/basilisk that enhance image processing accuracy and log hygiene, delivering measurable business value and preparing code for QA and release.
Activity
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Quality Metrics
Correctness89.6%
Maintainability91.8%
Architecture87.4%
Performance82.6%
AI Usage20.2%
Skills & Technologies
Programming Languages
CC++CMakeEigenPythonSWIGTeXprotobufrst
Technical Skills
Aerospace EngineeringAerospace SoftwareAlgorithm DevelopmentAlgorithm ImplementationAlgorithm OptimizationAlgorithm TestingAstrodynamicsAttitude DeterminationBuild System ConfigurationBuild SystemsCC ProgrammingC++C++ Data StructuresC++ Development
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