una-auxme/paf
Jan 2025 – Mar 2025
3 Months active
Languages Used
PythonShellXMLC++CMakeROSYAML
Technical Skills
Autonomous DrivingBackend DevelopmentBehavior TreesBehavioral ProgrammingComputer VisionDebugging
Johannes1098
PROFILE
Johannes1098
Johannes Fuchs contributed to the una-auxme/paf autonomous driving stack, focusing on motion planning, lane management, and behavior tree enhancements. Over three months, he delivered features such as robust lane change logic, overtaking utilities, and improved parking maneuvers, while also refactoring legacy code for maintainability. His work involved integrating geometry processing and computer vision techniques, leveraging Python, C++, and ROS to enhance perception and control systems. By addressing core bugs and optimizing algorithms, Johannes improved system reliability, safety, and diagnostics. His engineering approach balanced new feature delivery with code quality, resulting in a more stable and maintainable autonomous driving platform.
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
28 people
Work History
March 2025
55 Commits • 7 Features
Mar 1, 2025In 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.
55 Commits • 7 Features
Mar 1, 2025In 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.
March 2025
February 2025
51 Commits • 21 Features
Feb 1, 2025February 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:
February 2025
51 Commits • 21 Features
Feb 1, 2025February 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, 2025January 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.
15 Commits • 6 Features
Jan 1, 2025January 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.
January 2025
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
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