dstl/Stone-Soup
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
Linear AlgebraMeasurement ModelsState Estimation
Levi Golston
PROFILE
Levi Golston
Developed enhanced state representation capabilities for the dstl/Stone-Soup repository by adding support for a 9D state space in the CartesianToElevationBearingRangeRate component. This work introduced dynamic sizing of both the output vector and Jacobian matrix based on the ndim_state parameter, allowing for more flexible and accurate modeling of high-dimensional tracking scenarios. Leveraging Python and applying principles from linear algebra and measurement models, the implementation enables downstream consumers to work with less constrained state estimations. The changes were managed through traceable commits and designed to support future extensions, laying a foundation for advanced state estimation in complex environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
36
Activity Months1
Your Network
35 peopleWork History
March 2025
1 Commits • 1 Features
Mar 1, 20252025-03 Monthly Summary – dstl/Stone-Soup Key features delivered: - Added support for a 9D state space in CartesianToElevationBearingRangeRate, enabling dynamic sizing of the output vector and Jacobian based on ndim_state to support more flexible state representations. Major bugs fixed: - No major bugs fixed this month. Overall impact and accomplishments: - Extends Stone-Soup's state representation capabilities to higher-dimensional models, enabling more accurate and flexible tracking across complex scenarios. This work lays the groundwork for future enhancements in high-dimensional estimation and helps reduce model constraints for downstream consumers. Technologies/skills demonstrated: - Dynamic matrix sizing and Jacobian generation for higher-dimensional state spaces. - Traceable, commit-based change management (5de9b19419df41818690e56dc1449672d5d758d4: Handle 9D state vector). - Proactive design for future-proofing state representations in tracking pipelines.
1 Commits • 1 Features
Mar 1, 20252025-03 Monthly Summary – dstl/Stone-Soup Key features delivered: - Added support for a 9D state space in CartesianToElevationBearingRangeRate, enabling dynamic sizing of the output vector and Jacobian based on ndim_state to support more flexible state representations. Major bugs fixed: - No major bugs fixed this month. Overall impact and accomplishments: - Extends Stone-Soup's state representation capabilities to higher-dimensional models, enabling more accurate and flexible tracking across complex scenarios. This work lays the groundwork for future enhancements in high-dimensional estimation and helps reduce model constraints for downstream consumers. Technologies/skills demonstrated: - Dynamic matrix sizing and Jacobian generation for higher-dimensional state spaces. - Traceable, commit-based change management (5de9b19419df41818690e56dc1449672d5d758d4: Handle 9D state vector). - Proactive design for future-proofing state representations in tracking pipelines.
March 2025
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Linear AlgebraMeasurement ModelsState Estimation
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