fs-feup/autonomous-systems
Nov 2025 – Jan 2026
2 Months active
Languages Used
C++PythonYAML
Technical Skills
C++ developmentalgorithm optimizationpoint cloud processingroboticssoftware debuggingC++
Leandro Resende
PROFILE
Leandro Resende
Leandro Resende contributed to the fs-feup/autonomous-systems repository by developing a ROS 2-integrated vehicle simulation system and optimizing the perception pipeline for autonomous vehicles. He replaced the PCL library with custom C++ algorithms for ground removal and clustering, improving execution speed and configurability. His work included enhancements to vehicle dynamics through a bicycle model and dynamic torque limits, as well as robust perception under rain via parameterized intensity thresholds. Using C++, Python, and YAML, Leandro addressed build stability and code quality, delivering maintainable solutions that improved simulation fidelity, perception accuracy, and readiness for integration and testing in robotics environments.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
7,956
Activity Months2
Your Network
4 peopleShared Repositories
4
Work History
January 2026
4 Commits • 2 Features
Jan 1, 2026January 2026: Delivered foundation for the autonomous-systems project with a new vehicle simulation system and perception optimizations. Key outcomes include ROS 2-integrated vehicle simulator with bicycle model, launch configuration, and PacSim motor model enhancements enabling dynamic torque limits and a new state vector message; perception module optimizations delivering 40m performance and rain-robust filtering with parameterizable intensity thresholds; build stabilization through compilation and dependency fixes, supporting faster iteration and deployment. Overall impact: higher fidelity simulation, robust perception under adverse weather, and stronger readiness for integration/testing.
4 Commits • 2 Features
Jan 1, 2026January 2026: Delivered foundation for the autonomous-systems project with a new vehicle simulation system and perception optimizations. Key outcomes include ROS 2-integrated vehicle simulator with bicycle model, launch configuration, and PacSim motor model enhancements enabling dynamic torque limits and a new state vector message; perception module optimizations delivering 40m performance and rain-robust filtering with parameterizable intensity thresholds; build stabilization through compilation and dependency fixes, supporting faster iteration and deployment. Overall impact: higher fidelity simulation, robust perception under adverse weather, and stronger readiness for integration/testing.
January 2026
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for fs-feup/autonomous-systems focusing on delivering high-value perception system improvements, fixed critical evaluation logic, and strengthening code quality. The month emphasized performance, accuracy, and configurability to accelerate development cycles and reduce runtime costs in production deployments.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for fs-feup/autonomous-systems focusing on delivering high-value perception system improvements, fixed critical evaluation logic, and strengthening code quality. The month emphasized performance, accuracy, and configurability to accelerate development cycles and reduce runtime costs in production deployments.
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture80.0%
Performance83.4%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++PythonYAML
Technical Skills
C++C++ DevelopmentC++ developmentC++ programmingConfiguration ManagementPoint Cloud ProcessingROSROS 2Simulation DevelopmentVehicle Dynamicsalgorithm optimizationperception algorithmspoint cloud processingroboticssensor data processing
Repositories Contributed To
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