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tera24

PROFILE

Tera24

Toshifumi Teranishi contributed to the autoware.universe and autoware.core repositories, focusing on point cloud processing and path planning in C++ and ROS environments. He developed a PointXYZ to PointXYZIRC conversion for the dummy_perception_publisher, streamlining data interoperability for downstream perception and visualization modules. In autoware.core, he addressed stability and safety in path planning by fixing bugs that prevented crashes with short trajectories and ensured complete path outputs from the current lanelet. His work emphasized robust input validation, improved test reliability, and maintainable code, demonstrating a thoughtful approach to algorithm optimization and integration within complex autonomous driving systems.

Overall Statistics

Feature vs Bugs

33%Features

Repository Contributions

3Total
Bugs
2
Commits
3
Features
1
Lines of code
77
Activity Months3

Work History

March 2026

1 Commits

Mar 1, 2026

March 2026 monthly summary for autowarefoundation/autoware.core. Focused on reliability and safety of path planning. Delivered a critical bug fix in the path generation logic to prevent truncation before the current lanelet, ensuring complete and accurate paths and improving overall navigation fidelity. The change enhances safety in edge cases and reduces risk of incomplete routes requiring manual intervention.

December 2025

1 Commits

Dec 1, 2025

Monthly work summary for 2025-12 focusing on stabilizing core path planning in autoware.core. Delivered a critical bug fix to prevent crashes with short trajectories, enhanced input validation, and improved test reliability. This period emphasizes business value through safer navigation, reduced downtime, and stronger code quality.

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025: Focused on enhancing perception pipeline interoperability in vish0012/autoware.universe by delivering a PointXYZ to PointXYZIRC conversion for the dummy_perception_publisher. The new conversion enables PointXYZIRC output clouds, improving downstream compatibility with visualization and perception modules and reducing manual data transformation steps. No major bugs were fixed this month; work centered on feature development and code quality improvements.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage26.6%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++C++ developmentPoint Cloud ProcessingROSalgorithm optimizationpath planning

Repositories Contributed To

2 repos

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

autowarefoundation/autoware.core

Dec 2025 Mar 2026
2 Months active

Languages Used

C++

Technical Skills

C++ developmentalgorithm optimizationpath planning

vish0012/autoware.universe

Nov 2025 Nov 2025
1 Month active

Languages Used

C++

Technical Skills

C++Point Cloud ProcessingROS