

December 2025: Key features delivered include documentation for vehicle-road collaboration and edge intelligence research direction; CARLA 0.9.10–based roadside perception data collection/visualization toolkit with vehicle spawning and data saving. Major bugs fixed include V2X roadside perception parameter passing in draw_boxes and dynamic display freeze. Overall impact: improved research reproducibility, faster onboarding, and a robust roadside perception data pipeline enabling data-driven experiments. Technologies/skills demonstrated: CARLA integration, Python automation, data collection/visualization, debugging, and edge-oriented perception workflow.
December 2025: Key features delivered include documentation for vehicle-road collaboration and edge intelligence research direction; CARLA 0.9.10–based roadside perception data collection/visualization toolkit with vehicle spawning and data saving. Major bugs fixed include V2X roadside perception parameter passing in draw_boxes and dynamic display freeze. Overall impact: improved research reproducibility, faster onboarding, and a robust roadside perception data pipeline enabling data-driven experiments. Technologies/skills demonstrated: CARLA integration, Python automation, data collection/visualization, debugging, and edge-oriented perception workflow.
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