Datasets › 3D Vehicle Tracking Simulation Dataset

3D Vehicle Tracking Simulation Dataset

Introduced by Hou-Ning Hu et al. in Monocular Quasi-Dense 3D Object Tracking12 Mar 2021 archive 2025-07-28

To collect the 3D Vehicle Tracking Simulation Dataset, a driving simulation is used to obtain accurate 3D bounding box annotations at no cost of human efforts. The data collection and annotation pipeline extend the previous works like VIPER and FSV, especially in terms of linking identities across frames. The simulation is based on Grand Theft Auto V, a modern game that simulates a functioning city and its surroundings in a photo-realistic three-dimensional world. Note that the pipeline is real-time, providing the potential of largescale data collection, while VIPER requires expensive offline processings.

Source: Monocular Quasi-Dense 3D Object Tracking

Image source: Monocular Quasi-Dense 3D Object Tracking

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 4 papers for it but never published that list.

Dataset loaders archive 2025-07-28

SysCV/qd-3dtpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Custom

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • 3D Vehicle Tracking Simulation Dataset

1 variant name, as the archive lists them.

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