February 2026—technolojin/autoware.universe (2026-02) was focused on governance, robustness, and documentation alignment. Key features delivered: Code Ownership Update for imu_corrector (CODEOWNERS expanded to include additional owners) and EKF Initialization Reliability Enhancement (in-bounds sampling requirement, restart on out-of-bounds initial value, and README/initialization fixes). Major bugs fixed: stabilization of EKF initialization by enforcing in-bounds samples and adding restart logic; fix of an uninitialized variable and README typos. Overall impact: increased reliability of EKF scale estimation, clearer ownership and collaboration, and improved readiness for production deployments. Technologies/skills demonstrated: code governance (CODEOWNERS), Kalman filter EKF initialization, defensive programming, and documentation maintenance.

November 2025 focused on hardening IMU bias correction in two Autoware projects, delivering safer, configurable bias management for improved sensor fusion reliability and easier engineering handoffs. Key improvements include mutual exclusion between static and dynamic bias correction, runtime guards against conflicting configurations, and parameterized control in the launcher, all supported by updated documentation and configuration states.

September 2025 focused on strengthening IMU data quality, gyro bias/scale management, and maintainability across Autoware repositories. Key work integrated EKF-based scale estimation for the IMU Z-axis with NDT pose as ground truth, refactoring bias estimation to incorporate scale, and expanding configurability with new parameters and diagnostics. Additionally, configuration enhancements across projects enabled finer tuning of gyro bias/scale corrections and ensured compatibility with evolving dependencies to prevent regressions. The combined efforts improved state estimation accuracy, robustness for production deployments, and developer maintainability.