Nine Cameras, Seven LiDARs, Three Radars, One Group ID: Exploring KITScenes Multimodal in FiftyOne
A grouped FiftyOne build of KITScenes Multimodal high-fidelity robotaxi dataset, where every camera, a fused seven-lidar-and-three-radar point cloud, and a reprojection-accurate HD map for one driving instant all live under a single group id. A single frame from a modern robotaxi's sensor suite is not one file. It's ten. Nine synchronized global-shutter cameras. A fused point cloud built from…
KITScenes Multimodal is a high-fidelity robotaxi dataset created by the Institute of Measurement and Control Systems (MRT) at Karlsruhe Institute of Technology (KIT) and the FZI Research Center for Information Technology (FZI). It packs nine global-shutter cameras, seven lidars, and three radars into a single synchronized rig, recording the exact same tenth of a second from different sensor perspectives.
This dataset is designed to address limitations in existing autonomous driving datasets, such as sensor fidelity, map completeness, and geographic diversity. KITScenes Multimodal offers a more detailed and accurate representation of driving conditions, with higher camera resolution, greater lidar point density, and extended lidar range.
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