KITScenes Multimodal A high fidelity sensor suite and the most complete HD maps of any public autonomous driving dataset. Links: Dataset website · Python API on GitHub · Download on HuggingFace Early release. KITScenes Multimodal is published at version 1.0.x . The on disk schema is in place, but files, annotations, splits, and documentation may still change. For final benchmark reporting, please wait for a more stable public release. Reprojection of HD map labels into 6 of the 9 cameras, with LiDAR points reprojected into the rear cameras. KITScenes Multimodal is a European urban autonomous driving dataset targeting Level 4 robotaxi requirements, recorded across Karlsruhe, Frankfurt, and Sindelfingen by the Institute of Measurement and Control Systems (MRT) at Karlsruhe Institute of Technology (KIT). The dataset is built around a high fidelity sensor suite : nine high resolution global shutter cameras provide full 360° surround coverage at 72.5 MPix per frame, enabling novel view synthesis and holistic HD map perception, while seven highly dense long range LiDARs with an effective range beyond 400 m push the limits of what current perception methods can achieve. KITScenes Multimod…
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