
Developed an autonomous vehicle path tracking system using the Pure Pursuit algorithm for the OpenHUTB/nn repository, focusing on robust navigation within the Carla simulator. The work involved integrating algorithmic control logic in Python to enable stable path following and reduce manual tuning during simulation runs. By updating the codebase and establishing a reusable module, the developer enhanced the reliability of autonomous navigation and laid groundwork for future planning features. The project demonstrated skills in algorithm implementation, simulation integration, and data visualization, resulting in a maintainable solution that supports ongoing development in autonomous vehicle research and simulation environments.
Month: 2026-04 — Focused delivery of autonomous path-tracking capability for Carla simulations and strengthening integration with the OpenHUTB/nn repository.
Month: 2026-04 — Focused delivery of autonomous path-tracking capability for Carla simulations and strengthening integration with the OpenHUTB/nn repository.

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