technolojin/autoware.universe
Oct 2025 – Oct 2025
1 Month active
Languages Used
C++CMakeMarkdownYAML
Technical Skills
3D PerceptionC++ DevelopmentCMake DevelopmentComputer VisionDevOpsObject Detection
Masaki Baba
PROFILE
Masaki Baba
Masaki Baba developed the Autoware Image Object Locator for the technolojin/autoware.universe repository, enabling 3D object detection from 2D image bounding boxes. He implemented the autoware_image_object_locator package and the bbox_object_locator_node, integrating C++ and ROS 2 to convert 2D detections into actionable 3D object information for downstream perception tasks. His work included CMake-based configuration and comprehensive documentation to support adoption and maintenance. Additionally, Masaki improved project governance by updating maintainer information in the Perception module, clarifying ownership and onboarding. The work demonstrated depth in 3D perception, system integration, and project management within a complex robotics software environment.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
838
Activity Months1
Your Network
104 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 Highlights for technolojin/autoware.universe focused on expanding perception capabilities and strengthening governance. Delivered the Autoware Image Object Locator feature, enabling 3D object detections from 2D image bounding boxes by introducing the autoware_image_object_locator package, including the bbox_object_locator_node and the necessary configuration/docs to convert 2D detections into 3D object information. This enhances perception accuracy for downstream tasks and accelerates deployment in real-world scenarios. Also improved project governance by adding maintainer information to the Perception module, strengthening accountability and onboarding processes. Overall impact: enhanced perception pipeline with 2D-to-3D object localization, clearer ownership, and better documentation, reducing integration risk and facilitating faster adoption by downstream users. Technologies/skills demonstrated: ROS/CMake package development, node integration for 3D perception, 2D-to-3D data fusion concepts, configuration and documentation management, and governance/maintainer practices.
2 Commits • 1 Features
Oct 1, 2025October 2025 Highlights for technolojin/autoware.universe focused on expanding perception capabilities and strengthening governance. Delivered the Autoware Image Object Locator feature, enabling 3D object detections from 2D image bounding boxes by introducing the autoware_image_object_locator package, including the bbox_object_locator_node and the necessary configuration/docs to convert 2D detections into 3D object information. This enhances perception accuracy for downstream tasks and accelerates deployment in real-world scenarios. Also improved project governance by adding maintainer information to the Perception module, strengthening accountability and onboarding processes. Overall impact: enhanced perception pipeline with 2D-to-3D object localization, clearer ownership, and better documentation, reducing integration risk and facilitating faster adoption by downstream users. Technologies/skills demonstrated: ROS/CMake package development, node integration for 3D perception, 2D-to-3D data fusion concepts, configuration and documentation management, and governance/maintainer practices.
October 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMakeMarkdownYAML
Technical Skills
3D PerceptionC++ DevelopmentCMake DevelopmentComputer VisionDevOpsObject DetectionProject ManagementROS 2System Integration
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