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Regret1103111

PROFILE

Regret1103111

Developed an end-to-end YOLO-based object detection and CARLA data pipeline within the OpenHUTB/nn repository, integrating real-time perception with autonomous vehicle simulation. The work included building the YOLO core framework in Python, handling model loading, preprocessing, inference, and post-processing, while adding TensorBoard monitoring for observability. CARLA simulator integration enabled autonomous vehicle testing with live RGB camera streams, and the main control loop combined object detection with trajectory planning and automated emergency braking logic. Configuration management was improved through centralized settings and CLI support, and stability was enhanced by resolving Python syntax errors and refactoring modules for better performance and maintainability.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

20Total
Bugs
1
Commits
20
Features
4
Lines of code
1,611
Activity Months1

Work History

March 2026

20 Commits • 4 Features

Mar 1, 2026

March 2026 — OpenHUTB/nn: End-to-end YOLO-based object detection and CARLA data pipeline integrated into the main control loop, with observability, configuration management, and a formal release.

Activity

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Quality Metrics

Correctness88.0%
Maintainability84.0%
Architecture85.0%
Performance81.0%
AI Usage38.0%

Skills & Technologies

Programming Languages

MarkdownPython

Technical Skills

Autonomous VehiclesCommand Line InterfaceComputer VisionDeep LearningMachine LearningObject DetectionPythonPython developmentPython programmingPython scriptingSimulationTensorBoardTensorFlowYOLOautonomous systems

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

OpenHUTB/nn

Mar 2026 Mar 2026
1 Month active

Languages Used

MarkdownPython

Technical Skills

Autonomous VehiclesCommand Line InterfaceComputer VisionDeep LearningMachine LearningObject Detection