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A strategic approach to dataset creation could empower smaller labs to make significant advancements in autonomous driving without overspending on data collection.
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.
