OpenHUTB/nn
Oct 2025 – Dec 2025
3 Months active
Languages Used
PythonYAML
Technical Skills
computer visiondeep learningreinforcement learningroboticssimulationmachine learning
haruDT
PROFILE
Harudt
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
19Total
Bugs
0
Commits
19
Features
7
Lines of code
12,279
Activity Months3
Your Network
159 people
Work History
December 2025
17 Commits • 5 Features
Dec 1, 2025Month: 2025-12 — OpenHUTB/nn delivered a robust suite of CARLA tracking and perception enhancements, driving significant business value through improved testing realism, faster iteration, and broader deployment capabilities.
17 Commits • 5 Features
Dec 1, 2025Month: 2025-12 — OpenHUTB/nn delivered a robust suite of CARLA tracking and perception enhancements, driving significant business value through improved testing realism, faster iteration, and broader deployment capabilities.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly performance summary for 2025-11 focusing on delivering a real-time vehicle tracking workflow in CARLA using YOLO for object detection and SORT for multi-object tracking, with a Kalman filter-based tracker and real-time visualization integrated into CARLA. The work demonstrates end-to-end perception-to-tracking capabilities within a simulation environment, enabling faster iteration of autonomous vehicle perception pipelines and validation scenarios.
November 2025
1 Commits • 1 Features
Nov 1, 2025Monthly performance summary for 2025-11 focusing on delivering a real-time vehicle tracking workflow in CARLA using YOLO for object detection and SORT for multi-object tracking, with a Kalman filter-based tracker and real-time visualization integrated into CARLA. The work demonstrates end-to-end perception-to-tracking capabilities within a simulation environment, enabling faster iteration of autonomous vehicle perception pipelines and validation scenarios.
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a CARLA Intelligent Agent Framework focusing on Vehicle Tracking and Deep-Learning-Based Control in OpenHUTB/nn. This framework enables realistic simulation of autonomous agents within CARLA, incorporating a vehicle-tracking subsystem and a deep-learning-driven control loop. The work establishes a scalable foundation for rapid experimentation and validation of autonomous-vehicle behaviors, reducing prototyping time and enabling data-driven improvements. No major bugs fixed this month; changes were integrated and validated in the repository.
1 Commits • 1 Features
Oct 1, 2025October 2025: Delivered a CARLA Intelligent Agent Framework focusing on Vehicle Tracking and Deep-Learning-Based Control in OpenHUTB/nn. This framework enables realistic simulation of autonomous agents within CARLA, incorporating a vehicle-tracking subsystem and a deep-learning-driven control loop. The work establishes a scalable foundation for rapid experimentation and validation of autonomous-vehicle behaviors, reducing prototyping time and enabling data-driven improvements. No major bugs fixed this month; changes were integrated and validated in the repository.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness81.0%
Maintainability80.0%
Architecture81.0%
Performance80.0%
AI Usage47.2%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
3D VisualizationCARLAComputer VisionData AnalysisDeep LearningMachine LearningOpen3DPythonPython DevelopmentPython programmingROSSimulationSoftware Optimizationcomputer visionconfiguration management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline