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Fine-tuning LiDAR detectors with auto-generated labels can boost VRU detection accuracy by over 23 points, outperforming the original training data quality.
WorldVLM bridges the gap between contextual reasoning and dynamic prediction by using VLMs to guide WMs, offering a more interpretable and context-aware approach to autonomous driving.