OpenHUTB/nn
Apr 2026 – Apr 2026
1 Month active
Languages Used
JSONPython
Technical Skills
JavaScriptPythonPython programmingalgorithm developmentautonomous drivingcomputer vision
m0nesy
PROFILE
M0nesy
Worked on the OpenHUTB/nn repository to deliver a cohesive set of autonomous driving system enhancements, focusing on navigation, safety, visualization, and adaptive user interfaces. Developed a multimodal navigation feature with obstacle avoidance and integrated speed sensor data to enable adaptive speed control based on real-time speed limits. Implemented a multi-view camera display to improve situational awareness and designed a weather- and day/night-aware UI that adjusts both speed and display according to environmental conditions. Utilized Python and JavaScript for algorithm development, computer vision, and sensor integration, while restructuring project folders to improve maintainability and lay the groundwork for future testing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
1,375
Activity Months1
Your Network
263 peopleWork History
April 2026
4 Commits • 1 Features
Apr 1, 2026April 2026 — OpenHUTB/nn: Delivered end-to-end autonomous driving enhancements focused on navigation, safety, visualization, and weather-aware UI. Completed a cohesive feature set including multimodal navigation and obstacle avoidance, adaptive speed control using speed-limit data from sensors, multi-view camera display, and weather/day-night UI that adapts display and speed under varying conditions. All work contributed under a unified carla_multimodal_navigator workflow with folder restructuring to improve maintainability. No critical bugs reported; groundwork established for testing and deployment.
4 Commits • 1 Features
Apr 1, 2026April 2026 — OpenHUTB/nn: Delivered end-to-end autonomous driving enhancements focused on navigation, safety, visualization, and weather-aware UI. Completed a cohesive feature set including multimodal navigation and obstacle avoidance, adaptive speed control using speed-limit data from sensors, multi-view camera display, and weather/day-night UI that adapts display and speed under varying conditions. All work contributed under a unified carla_multimodal_navigator workflow with folder restructuring to improve maintainability. No critical bugs reported; groundwork established for testing and deployment.
April 2026
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
JavaScriptPythonPython programmingalgorithm developmentautonomous drivingcomputer visionfront end developmentfull stack developmentmachine learningroboticssensor integration
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