OpenHUTB/nn
Sep 2025 – Mar 2026
2 Months active
Languages Used
MarkdownPython
Technical Skills
Initial Project SetupAIComputer VisionMachine LearningOpenCVPID control
wangadsa
PROFILE
Wangadsa
Over a two-month period, contributed to the OpenHUTB/nn repository by architecting and delivering an end-to-end autonomous perception and control stack for real-time vehicle navigation. The work began with foundational project setup, including directory scaffolding and documentation to accelerate drone feature development. Subsequently, developed a YOLOv3-based perception pipeline integrated with CARLA for scene understanding, implemented vision-driven Autonomous Emergency Braking logic, and designed a PID-based longitudinal velocity controller for stable speed tracking. Leveraging Python, OpenCV, and deep learning, the system achieved full integration across perception, control, and navigation, with production-grade documentation and configuration management to streamline deployment and onboarding.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
6
Lines of code
1,646
Activity Months2
Your Network
263 peopleWork History
March 2026
20 Commits • 5 Features
Mar 1, 2026March 2026: Delivered end-to-end autonomous perception and control stack in OpenHUTB/nn with CARLA integration and v1.0 release. Key outcomes include a real-time YOLOv3-based perception pipeline integrated with the CARLA AutoVision Navigator for scene understanding and driving decisions; vision-based Autonomous Emergency Braking (AEB) decision logic tightly coupled to perception and control; PID-based longitudinal velocity control module for stable target-speed tracking; completion of core system setup, CARLA server integration, vehicle spawning, and production-grade documentation; and full system-wide integration across perception, longitudinal and lateral control, and navigation. These efforts enhanced safety, situational awareness, and deployment efficiency, enabling faster onboarding and robust production readiness.
20 Commits • 5 Features
Mar 1, 2026March 2026: Delivered end-to-end autonomous perception and control stack in OpenHUTB/nn with CARLA integration and v1.0 release. Key outcomes include a real-time YOLOv3-based perception pipeline integrated with the CARLA AutoVision Navigator for scene understanding and driving decisions; vision-based Autonomous Emergency Braking (AEB) decision logic tightly coupled to perception and control; PID-based longitudinal velocity control module for stable target-speed tracking; completion of core system setup, CARLA server integration, vehicle spawning, and production-grade documentation; and full system-wide integration across perception, longitudinal and lateral control, and navigation. These efforts enhanced safety, situational awareness, and deployment efficiency, enabling faster onboarding and robust production readiness.
March 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 OpenHUTB/nn monthly summary focusing on foundational work to accelerate drone feature development. Delivered initial scaffolding for the drone feature, established a clear project structure, and created essential documentation to support rapid future iterations. No major bug fixes executed this month; effort centered on setup, alignment with roadmap, and enabling downstream work.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 OpenHUTB/nn monthly summary focusing on foundational work to accelerate drone feature development. Delivered initial scaffolding for the drone feature, established a clear project structure, and created essential documentation to support rapid future iterations. No major bug fixes executed this month; effort centered on setup, alignment with roadmap, and enabling downstream work.
Activity
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Quality Metrics
Correctness90.4%
Maintainability85.8%
Architecture86.6%
Performance85.8%
AI Usage39.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AIComputer VisionInitial Project SetupMachine LearningOpenCVPID controlPythonPython developmentYOLOv3autonomous drivingautonomous systemscomputer visionconfiguration managementdeep learningdependency management
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