

December 2025 focused on delivering end-to-end improvements to the OpenHUTB/nn data workflow, enhancing data generation pipelines, visualization, and documentation to accelerate model development and validation. The work stabilized CARLA integration, expanded data generation capabilities, and improved UI for rapid inspection and quality checks, driving measurable business value in data quality and development velocity.
December 2025 focused on delivering end-to-end improvements to the OpenHUTB/nn data workflow, enhancing data generation pipelines, visualization, and documentation to accelerate model development and validation. The work stabilized CARLA integration, expanded data generation capabilities, and improved UI for rapid inspection and quality checks, driving measurable business value in data quality and development velocity.
November 2025 monthly summary for OpenHUTB/nn: Delivered a robust CVIPS CARLA Scene Data Generator Core and CLI, plus enhancements to vehicle/pedestrian scene generation. Focused on building an automated, configurable data generation pipeline with reliable connection handling, parameter validation, and comprehensive documentation to accelerate CVIPS model development.
November 2025 monthly summary for OpenHUTB/nn: Delivered a robust CVIPS CARLA Scene Data Generator Core and CLI, plus enhancements to vehicle/pedestrian scene generation. Focused on building an automated, configurable data generation pipeline with reliable connection handling, parameter validation, and comprehensive documentation to accelerate CVIPS model development.
September 2025 monthly summary for OpenHUTB/nn: Delivered foundational work for Humanoid Vision Recognition and completed a repository restructure to align with the humanoid visual recognition scope. No major bugs fixed this month; focus was on scaffolding, documentation, and maintainability to enable rapid feature development in Q4.
September 2025 monthly summary for OpenHUTB/nn: Delivered foundational work for Humanoid Vision Recognition and completed a repository restructure to align with the humanoid visual recognition scope. No major bugs fixed this month; focus was on scaffolding, documentation, and maintainability to enable rapid feature development in Q4.
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