OpenHUTB/nn
Apr 2026 – May 2026
2 Months active
Languages Used
MarkdownPython
Technical Skills
3D Object DetectionComputer VisionMarkdownPython programmingSensor FusionSimulation Development
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PROFILE
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Developed advanced perception and sensor fusion tooling for the OpenHUTB/nn repository, focusing on autonomous driving simulation with CARLA. Delivered a multi-sensor synchronization workflow that aligns RGB camera and dual LiDAR streams, enabling reproducible sensor fusion experiments and streamlined benchmarking. Enhanced documentation by detailing end-to-end workflows for LiDAR 3D detection and rain sensor fusion, improving onboarding and reproducibility. Refactored repository structure to consolidate visualization scripts and remove broken submodules, resulting in a cleaner, more maintainable codebase. Leveraged Python, Markdown, and deep learning techniques to build robust simulation pipelines, emphasizing maintainability, rapid prototyping, and clarity in computer vision research workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
376
Activity Months2
Your Network
263 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for OpenHUTB/nn. Focused on delivering a robust multi-sensor synchronization workflow for CARLA to enable reliable sensor fusion and downstream analytics.
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for OpenHUTB/nn. Focused on delivering a robust multi-sensor synchronization workflow for CARLA to enable reliable sensor fusion and downstream analytics.
May 2026
April 2026
4 Commits • 3 Features
Apr 1, 2026April 2026 — OpenHUTB/nn: Documentation and visualization tooling enhancements for LiDAR-based perception and multi-sensor fusion. Delivered three major documentation artifacts and a CARLA-based fusion visualization pipeline, complemented by repository refactoring to improve maintainability. These efforts enhance onboarding, reproducibility, and rapid prototyping of perception workloads.
April 2026
4 Commits • 3 Features
Apr 1, 2026April 2026 — OpenHUTB/nn: Documentation and visualization tooling enhancements for LiDAR-based perception and multi-sensor fusion. Delivered three major documentation artifacts and a CARLA-based fusion visualization pipeline, complemented by repository refactoring to improve maintainability. These efforts enhance onboarding, reproducibility, and rapid prototyping of perception workloads.
Activity
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Quality Metrics
Correctness100.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
3D Object DetectionCARLA simulationComputer VisionMarkdownPythonPython programmingSensor FusionSimulation Developmentautonomous drivingcomputer visiondeep learningdocumentationmachine learningroboticssensor fusion
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