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Johannes1098

PROFILE

Johannes1098

Contributed to the una-auxme/paf autonomous driving stack by delivering 34 features and resolving 22 bugs over three months, focusing on motion planning, lane management, and behavioral programming. Enhanced map geometry integration, parking flow, and perception modules using Python, C++, and ROS, while refactoring core lane change and overtaking logic for safer, more predictable maneuvers. Improved code maintainability through structured refactoring, code cleanup, and legacy deprecation, introducing clearer interfaces and robust diagnostics. Addressed stability and control loop issues, optimized path planning, and implemented new debugging tools, resulting in a more reliable, maintainable, and safer autonomous driving system across multiple releases.

Overall Statistics

Feature vs Bugs

61%Features

Repository Contributions

121Total
Bugs
22
Commits
121
Features
34
Lines of code
4,727
Activity Months3

Your Network

34 people

Work History

March 2025

55 Commits • 7 Features

Mar 1, 2025

In March 2025 (Month: 2025-03), delivered core lane-change enhancements, stability improvements and diagnostics across the autonomous driving stack for una-auxme/paf. Key features delivered include Lane Change System Improvements with new lane-free direction enum and multiple fixes, Overtake/Marker Handling and related adjustments to improve reliability and diagnostics, Town13 XML integration in agent service, and broader code quality/utility enhancements. Major bugs fixed include initialization/trajectory handling, velocity calculations and sign handling, parking maneuver safety, and removal of deprecated services. Overall the month saw improved safety, reliability, maintainability, and performance of motion planning and control, with measurable business value in safer lane changes, more predictable overtakes, and cleaner signaling behavior.

February 2025

51 Commits • 21 Features

Feb 1, 2025

February 2025 (2025-02) monthly summary for una-auxme/paf. This period focused on structured refactoring for maintainability, feature delivery in lane management and path planning, and stability improvements across the control loop and map integration. Deliveries emphasize business value through clearer interfaces, safer control flows, and enhanced planning capabilities. Key outcomes include:

January 2025

15 Commits • 6 Features

Jan 1, 2025

January 2025 performance summary for una-auxme/paf: Delivered core map geometry enhancements, parking flow reliability, perception updates, and improved observability, driving safer autonomous behavior and faster debugging.

Activity

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Quality Metrics

Correctness83.4%
Maintainability85.4%
Architecture76.2%
Performance72.6%
AI Usage20.2%

Skills & Technologies

Programming Languages

C++CMakePythonROSShellXMLYAML

Technical Skills

Algorithm OptimizationAutonomous DrivingAutonomous Driving SystemsBackend DevelopmentBehavior Tree DevelopmentBehavior TreesBehavioral PlanningBehavioral ProgrammingBug FixBug FixingC++Code CleanupCode DeprecationCode OrganizationCode Refactoring

Repositories Contributed To

1 repo

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

una-auxme/paf

Jan 2025 Mar 2025
3 Months active

Languages Used

PythonShellXMLC++CMakeROSYAML

Technical Skills

Autonomous DrivingBackend DevelopmentBehavior TreesBehavioral ProgrammingComputer VisionDebugging