
Over a two-month period, contributed to the OpenHUTB/nn repository by developing and enhancing autonomous driving and traffic sign recognition systems using Python, computer vision, and machine learning. Built a CARLA-based traffic sign detection and data collection pipeline, automating vehicle and camera setup, image capture, bounding box generation, and XML annotation under varied weather conditions. Improved repository maintainability through code cleanup and documentation updates. Expanded the autonomous driving system with safety rule compliance, speed management, and obstacle detection, while refining traffic sign recognition accuracy and model training workflows. The work emphasized scalable automation, robust data processing, and disciplined version control practices.
In April 2026, OpenHUTB/nn delivered key autonomous driving and traffic sign recognition enhancements, with a strong focus on safety, rule compliance, and scalable automation. The work spans cross-module improvements to the Autonomous Driving System and Traffic Sign Recognition, robust bug fixes, and expanded autopilot coverage, positioning the project for safer operations and business-ready automation support.
In April 2026, OpenHUTB/nn delivered key autonomous driving and traffic sign recognition enhancements, with a strong focus on safety, rule compliance, and scalable automation. The work spans cross-module improvements to the Autonomous Driving System and Traffic Sign Recognition, robust bug fixes, and expanded autopilot coverage, positioning the project for safer operations and business-ready automation support.
March 2026: Delivered a CARLA-based Traffic Sign Detection & Data Collection System in the OpenHUTB/nn repository, enabling automated data capture for traffic sign recognition. The feature covers vehicle and camera setup, image capture, bounding box generation for detected signs, weather condition handling, and XML annotation creation. This work aligns with project goals and includes a clean initial submission and scope alignment (commit 5dcb2973eaffd61a35422e977ac45c471bb36980). Repository hygiene improvements were also made: removal of an unused module (violation_detection), switch to relative paths, and README enhancements to improve onboarding and maintainability.
March 2026: Delivered a CARLA-based Traffic Sign Detection & Data Collection System in the OpenHUTB/nn repository, enabling automated data capture for traffic sign recognition. The feature covers vehicle and camera setup, image capture, bounding box generation for detected signs, weather condition handling, and XML annotation creation. This work aligns with project goals and includes a clean initial submission and scope alignment (commit 5dcb2973eaffd61a35422e977ac45c471bb36980). Repository hygiene improvements were also made: removal of an unused module (violation_detection), switch to relative paths, and README enhancements to improve onboarding and maintainability.

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