fs-feup/autonomous-systems
Nov 2025 – Jun 2026
4 Months active
Languages Used
C++PythonYAML
Technical Skills
C++ developmentalgorithm optimizationpoint cloud processingroboticssoftware debuggingC++
Leandro Resende
PROFILE
Leandro Resende
Contributed to the fs-feup/autonomous-systems repository by developing simulation and perception systems for autonomous vehicles, focusing on modularity, configurability, and performance. Built a physics-driven simulator core in C++ with ROS 2 integration, supporting vehicle dynamics, tire modeling, and real-time telemetry. Enhanced perception algorithms by optimizing point cloud processing and introducing robust ground and wall removal heuristics, improving accuracy and runtime efficiency. Delivered a comprehensive statistics module for Invictasim, enabling live and per-lap metrics with advanced data visualization. Addressed build stability, configuration management, and simulation reliability, ensuring maintainable code and seamless integration across planning, control, and perception workflows.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
5
Lines of code
1,902,759
Activity Months4
Your Network
5 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026Month 2026-06 monthly summary for fs-feup/autonomous-systems: Delivered a comprehensive statistics module for Invictasim with live and per-lap metrics, paired with visualization and ground rendering improvements. Implemented core telemetry enhancements and bug fixes that improve simulation reliability and user experience.
1 Commits • 1 Features
Jun 1, 2026Month 2026-06 monthly summary for fs-feup/autonomous-systems: Delivered a comprehensive statistics module for Invictasim with live and per-lap metrics, paired with visualization and ground rendering improvements. Implemented core telemetry enhancements and bug fixes that improve simulation reliability and user experience.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 – fs-feup/autonomous-systems: Delivered the InvictaSim Initial Implementation with a modular, testable simulator core, enabling early validation of vehicle dynamics and end-to-end workflows. The work established a foundation for physics-driven development, visualization, and middleware integration across planning, control, and perception. Key focus areas included core simulator architecture, physics modeling, adapters and IO, and reliability improvements.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 – fs-feup/autonomous-systems: Delivered the InvictaSim Initial Implementation with a modular, testable simulator core, enabling early validation of vehicle dynamics and end-to-end workflows. The work established a foundation for physics-driven development, visualization, and middleware integration across planning, control, and perception. Key focus areas included core simulator architecture, physics modeling, adapters and IO, and reliability improvements.
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
Correctness80.0%
Maintainability77.6%
Architecture80.0%
Performance80.0%
AI Usage32.6%
Skills & Technologies
Programming Languages
C++PythonYAML
Technical Skills
C++C++ DevelopmentC++ developmentC++ programmingConfiguration ManagementPoint Cloud ProcessingPython programmingROSROS 2Simulation DevelopmentVehicle Dynamicsalgorithm optimizationdata visualizationperception algorithmspoint cloud processing
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