tier4/AWSIM
Aug 2025 – Sep 2025
2 Months active
Languages Used
C#C++CMakeDockerfileMarkdownPythonShellUnity
Technical Skills
3D Modeling3D RenderingAsset CleanupAsset ManagementAutonomous DrivingBug Fix
rokamu623
PROFILE
Rokamu623
Ryo Okamura contributed to the tier4/AWSIM repository by delivering 24 features and resolving 22 bugs over two months, focusing on simulation reliability and maintainability. He implemented orientation-aware spawning and improved NPC grounding, refactored core traffic logic, and modernized API usage to align with v2i standards. Using C#, C++, and Unity, Ryo enhanced asset management and scene organization, while also streamlining code through cleanup and standardization. He moved shared components like LaneletLoader for broader reuse and overhauled documentation to support onboarding and troubleshooting. His work addressed both technical debt and user experience, resulting in a more robust, maintainable simulation platform.
Overall Statistics
Feature vs Bugs
52%Features
Repository Contributions
158Total
Bugs
22
Commits
158
Features
24
Lines of code
2,254,730
Activity Months2
Your Network
44 people
Work History
September 2025
89 Commits • 11 Features
Sep 1, 2025For 2025-09, AWSIM development delivered a focused set of architectural improvements, UI enhancements, and extensive documentation updates, significantly improving maintainability, developer onboarding, and overall system reliability. The work emphasizes business value through reusable components, stable core flows, and clearer guidance for operators and contributors.
89 Commits • 11 Features
Sep 1, 2025For 2025-09, AWSIM development delivered a focused set of architectural improvements, UI enhancements, and extensive documentation updates, significantly improving maintainability, developer onboarding, and overall system reliability. The work emphasizes business value through reusable components, stable core flows, and clearer guidance for operators and contributors.
September 2025
August 2025
69 Commits • 13 Features
Aug 1, 2025August 2025 (AWSIM) delivered a set of high-value features and reliability improvements in tier4/AWSIM, focusing on spawning accuracy, NPC behavior, API modernization, and maintainability. Key work spans a rotation-aware CalcSpawnCoordinate function, robust NPC grounding and animation readiness, API migrations (v2i v2.0.0) with naming refinements, and improved asset organization through a new generated-GameObject folder field. The month also included extensive code cleanup to reduce warnings and dead code, broader refactors (LaneletTrafficLight naming, SetIntersectionLane), and documentation enhancements to clarify Traffic Simulation concepts and configuration. In parallel, several coreBug fixes stabilized traffic data handling, StopLine NPC logic, despawn/step flow, and rendering consistency, while removing external TrafficLane dependencies to simplify maintenance and reduce surface area for failures. Overall, these efforts improve runtime reliability, developer productivity, and data-driven behavior while aligning the project with current APIs and documentation standards.
August 2025
69 Commits • 13 Features
Aug 1, 2025August 2025 (AWSIM) delivered a set of high-value features and reliability improvements in tier4/AWSIM, focusing on spawning accuracy, NPC behavior, API modernization, and maintainability. Key work spans a rotation-aware CalcSpawnCoordinate function, robust NPC grounding and animation readiness, API migrations (v2i v2.0.0) with naming refinements, and improved asset organization through a new generated-GameObject folder field. The month also included extensive code cleanup to reduce warnings and dead code, broader refactors (LaneletTrafficLight naming, SetIntersectionLane), and documentation enhancements to clarify Traffic Simulation concepts and configuration. In parallel, several coreBug fixes stabilized traffic data handling, StopLine NPC logic, despawn/step flow, and rendering consistency, while removing external TrafficLane dependencies to simplify maintenance and reduce surface area for failures. Overall, these efforts improve runtime reliability, developer productivity, and data-driven behavior while aligning the project with current APIs and documentation standards.
Activity
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Quality Metrics
Correctness94.4%
Maintainability94.4%
Architecture91.8%
Performance90.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#C++CMakeCSSDockerfileHTMLJavaScriptMarkdownPythonShell
Technical Skills
3D Modeling3D RenderingAsset CleanupAsset ManagementAutonomous DrivingBug FixBug FixingC#C++CMakeClean CodeCode CleanupCode ComplianceCode FormattingCode Organization
Repositories Contributed To
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