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Check out the documentation for more information.
T-Car nuScenes (v1.0-trainval layout)
The dataset is split into plain tar files. Each holds paths relative to the dataset root, so
extracting all of them in one directory gives the standard nuScenes layout
(samples/, sweeps/, v1.0-trainval/, can_bus/, maps/).
hf download shchon11/TCar --repo-type dataset --local-dir tcar_tars
mkdir -p tcar_nuscenes && for f in tcar_tars/*.tar; do tar -xf "$f" -C tcar_nuscenes; done
from nuscenes.nuscenes import NuScenes
nusc = NuScenes(version="v1.0-trainval", dataroot="tcar_nuscenes")
Files: 125889 in 10 tars.
Coordinate frames
ego_pose is in the location's global frame, as in nuScenes: metres, x east, y north, z up, on the
tangent plane at 37.20° N, 126.83° E (height 0 on the WGS84 ellipsoid). log.json names it in the
extra key global_frame (enu@37.200000,126.830000,0.000). Ego poses and the CAN bus pose come from
the NovAtel INSPVA solution (100 Hz, RTK), placed at the receiver's GPS measurement time.
Changes
- 2026-09-24 — ego poses rebuilt; only
TCar_meta.tarchanged. The first upload tookego_poseand the CAN bus pose from/novatel/oem7/odom, whose position held still for up to a second at a time (off by 0.8–2.6 m on median per log, up to 15 m), in UTM zone 52N. They are now recomputed from INSPVA in the frame above. Tokens, timestamps,sample_data,calibrated_sensorand every sensor file are unchanged. If you already extracted the dataset, downloadTCar_meta.taragain and extract it over your copy.rebuild_ego_pose.report.jsonhas the per-log details.
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