
Worked on the AVSLab/basilisk repository to enhance autonomous vehicle perception and imaging capabilities. Developed a new inertial target state messaging structure in C++ and Python, enabling improved tracking of target locations and velocities for perception pipelines. Designed and implemented a strip imaging framework, including modules for modeling imaging targets and supporting cross-track pointing, which expanded simulation and geospatial analysis features. Addressed a compiler warning by refining destructor inheritance, ensuring robust object-oriented behavior. The work combined algorithm development, embedded systems, and data structures expertise, contributing to more reliable release readiness and supporting advanced spacecraft dynamics and testing within the project.
March 2026 monthly summary for AVSLab/basilisk focusing on business value and technical achievements across perception and imaging workstreams. Key features delivered include new data structures and imaging capabilities, while stability improvements were addressed through compiler-related bug fixes. The work enhances autonomous vehicle perception pipelines, targets robust tracking, and improves release readiness.
March 2026 monthly summary for AVSLab/basilisk focusing on business value and technical achievements across perception and imaging workstreams. Key features delivered include new data structures and imaging capabilities, while stability improvements were addressed through compiler-related bug fixes. The work enhances autonomous vehicle perception pipelines, targets robust tracking, and improves release readiness.

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