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The KITScenes Multimodal dataset redefines the landscape of autonomous driving research with the most complete HD maps and high-fidelity sensor data available publicly.
Rule-based planners offer safety but lack adaptability, while learned planners offer adaptability but lack safety – Mosaic gives you both, without retraining or additional data.
Training data is not enough: reasoning traces from diverse cultural backgrounds are critical for safe and reliable autonomous driving in rare, long-tail scenarios.
Self-supervised learning can dramatically improve online HD map construction, outperforming supervised methods even with limited labeled data by leveraging geospatial consistency in BEV feature representations.
