Mamoru Sobue
Software Engineer at TIER IV
Japan
Summary
🤩
Rockstar🎓
Top SchoolMamoru Sobue is a software engineer with eight years of experience specializing in autonomous vehicle software and robotics, currently contributing at TIER IV. He has a strong research background from the University of Tokyo and hands-on robotics experience through a JPL research internship on the DARPA Subterranean Challenge. On GitHub he contributes to the Autoware Universe project, focusing on behavior velocity planning for intersections—implementing stop-line generation, stuck-vehicle handling, traffic-light integration, and trajectory smoothing. His work blends backend systems engineering with algorithmic improvements and careful refactoring to improve safety and efficiency in real-world navigation stacks. Having bridged academic research, industry labs, and open-source development, he brings both rigorous experimental practice and production-oriented engineering to autonomous driving systems.
8 years of coding experience
Master's degree, Electrical Engineering and Computer Science, Master's degree, Electrical Engineering and Computer Science at 東京大学University of Tokyo
Github Skills (10)
c-language10
planning10
cprogramming-language10
ros10
autonomous-driving10
data-structure9
algorithm9
data-structures9
algorithms9
python5
Programming languages (14)
Github contributions (5)
autowarefoundation/autoware_universe
May 2022 - Jan 2023
Role in this project:
Back-end Developer
Back-end DeveloperContributions:460 reviews, 30 commits, 757 PRs in 8 months
Contributions summary:Mamoru primarily contributes to the behavior velocity planner module within the Autoware universe project. They are focused on implementing and refining the intersection module, including generating stop lines, handling stuck vehicles, and improving the trajectory smoother. Their work involves modifying path velocities, integrating traffic light information, and ensuring safe navigation within intersections. They also appear to be responsible for refactoring code for better efficiency.
autowareros23d-mapcalibrationros
tier4/autoware_core
Feb 2025 - Mar 2025
Contributions:92 pushes, 24 branches in 28 days
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