Datasets › EU Long-term Dataset with Multiple Sensors for Autonomous Driving

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

archive 2025-07-28

EU Long-term Dataset with Multiple Sensors for Autonomous Driving was collected with a robocar, equipped with eleven heterogeneous sensors, in the downtown and suburban areas of Montbéliard in France. The vehicle speed was limited to 50 km/h following the French traffic rules. For the long-term data, the driving distance is about 5.0 km (containing a small and a big road loop for loop-closure purpose) and the length of recorded data is about 16 minutes for each collection round. For the roundabout data, the driving distance is about 4.2 km (containing 10 roundabouts with various sizes) and the length of recorded data is about 12 minutes for each collection round. In addition to enjoying the typical scenery of eastern France, users can also feel the daily and seasonal changes in the city.

Source: https://epan-utbm.github.io/utbm_robocar_dataset/

Image Source: https://epan-utbm.github.io/utbm_robocar_dataset/

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • EU Long-term Dataset with Multiple Sensors for Autonomous Driving

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