
Over nine months, Galis Bermo engineered core robotics and perception features for the ARUSfs/DRIVERLESS2 repository, focusing on scalable CAN bus communication and robust point cloud processing. He developed a data-driven CAN interface using C++ and ROS2, centralizing configuration with CSV parsing and enhancing reliability through refactored data handling and logging. In perception, he implemented modular point cloud accumulation and registration pipelines, leveraging OpenMP for clustering performance and integrating ICP-based alignment for improved mapping. His work demonstrated depth in embedded systems, configuration management, and computer vision, resulting in maintainable, well-documented code that advanced autonomous vehicle integration and real-time diagnostics.

Month: 2025-07 Focused on delivering safe, observable, and controllable propulsion and braking system enhancements for ARUSfs/DRIVERLESS2, with emphasis on data logging, testing tooling, and robust communication interfaces to enable faster iteration and clearer diagnostics.
Month: 2025-07 Focused on delivering safe, observable, and controllable propulsion and braking system enhancements for ARUSfs/DRIVERLESS2, with emphasis on data logging, testing tooling, and robust communication interfaces to enable faster iteration and clearer diagnostics.
June 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on business value, data reliability, and system health. Key feats delivered across CAN bus, data models, and telemetry surface, with measurable improvements to maintainability and integration readiness.
June 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on business value, data reliability, and system health. Key feats delivered across CAN bus, data models, and telemetry surface, with measurable improvements to maintainability and integration readiness.
May 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on delivering safer, more tunable control and improved maintainability. Key work targeted centralized CAN interface configuration with torque control enhancements, and reliability improvements in the car_state module, underpinned by concrete commit-driven fixes and documentation updates.
May 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on delivering safer, more tunable control and improved maintainability. Key work targeted centralized CAN interface configuration with torque control enhancements, and reliability improvements in the car_state module, underpinned by concrete commit-driven fixes and documentation updates.
April 2025: Delivered a robust Global Perception Accumulation Pipeline with ICP-based registration and enhanced point-cloud processing for DRIVERLESS2, plus ground removal and Z-filtering improvements. Stabilized build and packaging, enabling scalable ROS2-based perception and mapping workflows. This work strengthens localization, mapping accuracy, and real-time autonomy while demonstrating depth in ROS2, ICP-based registration, and 3D perception pipelines.
April 2025: Delivered a robust Global Perception Accumulation Pipeline with ICP-based registration and enhanced point-cloud processing for DRIVERLESS2, plus ground removal and Z-filtering improvements. Stabilized build and packaging, enabling scalable ROS2-based perception and mapping workflows. This work strengthens localization, mapping accuracy, and real-time autonomy while demonstrating depth in ROS2, ICP-based registration, and 3D perception pipelines.
March 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on delivering core perception and point cloud processing capabilities, with a strong emphasis on performance, modularity, and integration readiness. The month featured three principal feature deliveries centered on clustering performance, data accumulation, and perception enhancements, underpinning a more robust and scalable autonomous perception stack.
March 2025 monthly summary for ARUSfs/DRIVERLESS2 focusing on delivering core perception and point cloud processing capabilities, with a strong emphasis on performance, modularity, and integration readiness. The month featured three principal feature deliveries centered on clustering performance, data accumulation, and perception enhancements, underpinning a more robust and scalable autonomous perception stack.
February 2025 – ARUSfs/DRIVERLESS2: Delivered foundational enhancements to the CAN interface, perception messaging, and perception pipeline with velocity-based point cloud accumulation. The changes improve maintainability, integration readiness for new message types, and configurability of perception processing; several fixes stabilized the accumulation pipeline and parameter naming.
February 2025 – ARUSfs/DRIVERLESS2: Delivered foundational enhancements to the CAN interface, perception messaging, and perception pipeline with velocity-based point cloud accumulation. The changes improve maintainability, integration readiness for new message types, and configurability of perception processing; several fixes stabilized the accumulation pipeline and parameter naming.
January 2025 (2025-01) monthly summary for ARUSfs/DRIVERLESS2 focused on delivering reliable topic naming/ID management, expanding the messaging surface for vehicle subsystems, and strengthening data integrity and data pipelines. The work connected topic naming conventions, ID tracking, and CSV-based auditing with new inverter-related messaging, car_info callbacks, and diagnostic checks, while stabilizing data handling and publishing flows.
January 2025 (2025-01) monthly summary for ARUSfs/DRIVERLESS2 focused on delivering reliable topic naming/ID management, expanding the messaging surface for vehicle subsystems, and strengthening data integrity and data pipelines. The work connected topic naming conventions, ID tracking, and CSV-based auditing with new inverter-related messaging, car_info callbacks, and diagnostic checks, while stabilizing data handling and publishing flows.
December 2024 — ARUSfs/DRIVERLESS2 monthly review. Key accomplishments focused on enabling a flexible, data-driven CAN interface and improving build, logging, and maintenance workflows. Major outcomes include: (1) CSV-driven CAN interface configuration (can.csv, can_aux.csv) and dynamic publishers, delivering data-driven CAN message processing with improved parsing, sub-ID handling, data mapping, scaling, and topic naming; commits: 10465bd9c94bed43bb84c0e5c2fe784e28437851, 00b0d033f6db9943d362932a178e00584139cd28, c58c5855beb46c67119fa2afbf28ebb38c7d26c6, 6c50eda189fc7c329c5860cd9278ed74e7a9700d, 8d89c4aff3bf322417359c1b8653a0a4d7dba0d1, 9de8e6b0e4c8bdb869f32cae46f0f7f504800216; (2) Build, logging, and maintenance improvements for the CAN interface, including fixing executable targets, migrating from std::cout to ROS logging (rclpp_info), and adding Doxygen docs; commits: 7ebddd1dd71b890d5cd9f05cef7223bb17a46828, a9df172be692683c0d580ddfcfc9bebee940f1f9, b4c8d7383a76fa0845778bc3d772ed52af83bf70, d987b1bcf268564aa3c89e4dee933b2daf9d5521; (3) Code cleanup and maintenance: removed unused member variables and legacy parsing, and cleaned header definitions to reduce confusion and potential issues; commits: deff30620f9356ca1aca8350e6edada861ad1f53, 8f8fad1c041b98aabbe70254e8f80f80692e32f9.
December 2024 — ARUSfs/DRIVERLESS2 monthly review. Key accomplishments focused on enabling a flexible, data-driven CAN interface and improving build, logging, and maintenance workflows. Major outcomes include: (1) CSV-driven CAN interface configuration (can.csv, can_aux.csv) and dynamic publishers, delivering data-driven CAN message processing with improved parsing, sub-ID handling, data mapping, scaling, and topic naming; commits: 10465bd9c94bed43bb84c0e5c2fe784e28437851, 00b0d033f6db9943d362932a178e00584139cd28, c58c5855beb46c67119fa2afbf28ebb38c7d26c6, 6c50eda189fc7c329c5860cd9278ed74e7a9700d, 8d89c4aff3bf322417359c1b8653a0a4d7dba0d1, 9de8e6b0e4c8bdb869f32cae46f0f7f504800216; (2) Build, logging, and maintenance improvements for the CAN interface, including fixing executable targets, migrating from std::cout to ROS logging (rclpp_info), and adding Doxygen docs; commits: 7ebddd1dd71b890d5cd9f05cef7223bb17a46828, a9df172be692683c0d580ddfcfc9bebee940f1f9, b4c8d7383a76fa0845778bc3d772ed52af83bf70, d987b1bcf268564aa3c89e4dee933b2daf9d5521; (3) Code cleanup and maintenance: removed unused member variables and legacy parsing, and cleaned header definitions to reduce confusion and potential issues; commits: deff30620f9356ca1aca8350e6edada861ad1f53, 8f8fad1c041b98aabbe70254e8f80f80692e32f9.
November 2024 (2024-11): Delivered foundational ROS2 CAN interface and related data-path improvements for ARUSfs/DRIVERLESS2, migrated to robust SocketCAN-based communication, centralized CAN configuration via CSV, integrated Kvaser CANlib for initial reads, and cleaned up legacy code in alignment with updated system direction. Resulted in improved data reliability, easier maintenance, and accelerated integration of CAN data into the vehicle stack.
November 2024 (2024-11): Delivered foundational ROS2 CAN interface and related data-path improvements for ARUSfs/DRIVERLESS2, migrated to robust SocketCAN-based communication, centralized CAN configuration via CSV, integrated Kvaser CANlib for initial reads, and cleaned up legacy code in alignment with updated system direction. Resulted in improved data reliability, easier maintenance, and accelerated integration of CAN data into the vehicle stack.
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