fs-feup/autonomous-systems
Jan 2026 – May 2026
2 Months active
Languages Used
C++PythonYAMLproperties
Technical Skills
C++ programmingPythonROSalgorithm designcontrol systemsrobotics
Diogo Pinheiro
PROFILE
Diogo Pinheiro
Worked on the fs-feup/autonomous-systems repository, delivering core sensor fusion and code quality automation features over two months. Developed an IMU-based motion tracking integrator in C++ and Python, incorporating calibration and gravity compensation to improve velocity accuracy and reduce drift in autonomous navigation. Addressed a startup steering issue by tuning control parameters and refining lookahead logic within the control system, enhancing early-run stability. Later, implemented SonarCloud configuration using YAML and DevOps practices to automate code quality analysis and reporting. This work strengthened both the reliability of motion tracking and the maintainability of the codebase through continuous integration improvements.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
430
Activity Months2
Your Network
5 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 summary for fs-feup/autonomous-systems: Delivered a key feature focused on code quality automation. Implemented SonarCloud configuration to enable automated code quality analysis and reporting. No major bug fixes reported this period. Overall, the work improves quality visibility, reduces risk in future releases, and sets the foundation for quality gates across the repository. Technologies demonstrated include SonarCloud integration, code quality tooling, configuration management, and Git-based workflows.
1 Commits • 1 Features
May 1, 2026May 2026 summary for fs-feup/autonomous-systems: Delivered a key feature focused on code quality automation. Implemented SonarCloud configuration to enable automated code quality analysis and reporting. No major bug fixes reported this period. Overall, the work improves quality visibility, reduces risk in future releases, and sets the foundation for quality gates across the repository. Technologies demonstrated include SonarCloud integration, code quality tooling, configuration management, and Git-based workflows.
May 2026
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly performance summary for fs-feup/autonomous-systems focusing on delivering core sensor fusion capabilities and improving startup reliability. Key features were implemented with careful calibration and gravity compensation to enhance motion tracking accuracy, while a startup steering issue was fixed through targeted control parameter tuning and lookahead logic adjustments. The work improves autonomous navigation safety, reliability, and operational readiness.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly performance summary for fs-feup/autonomous-systems focusing on delivering core sensor fusion capabilities and improving startup reliability. Key features were implemented with careful calibration and gravity compensation to enhance motion tracking accuracy, while a startup steering issue was fixed through targeted control parameter tuning and lookahead logic adjustments. The work improves autonomous navigation safety, reliability, and operational readiness.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonYAMLproperties
Technical Skills
C++ programmingCode Quality ManagementContinuous IntegrationDevOpsPythonROSalgorithm designcontrol systemsroboticssensor integration
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