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NexusStreets: a dataset combining human and autonomous driving behaviours

NexusStreets contains human and autonomous driving scenes, collected by monitoring a target vehicle (autonomous or human-driven), with data as JPEG image sequences and vehicle state information.

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Machine learning & corporaFree to access

Key facts

InstitutionSee official page
CoverageFive default maps in CARLA (Town01-Town05)
Time span2023-02-27 (updated)
Scale520 scenes (260 pairs), 60 seconds each, 1 file
LicenseLicense statement is still being checked
AccessZenodo

Contents & fields

The dataset consists of 520 scenes (260 pairs of mirrored scenarios), each 60 seconds, recording 120 frames of video and corresponding CSV rows. Folders are organized by driving mode (Baidu Apollo or manual), map (Town01-Town05), and trial number. Each trial includes:

  • video——JPEG image sequences
  • state_features.csv——state information of the target vehicle per frame
  • detection_features.csv——2D bounding box detections from a pre-trained YOLOv7 detector

Research uses

Suitable for autonomous driving behavior analysis, human-machine driving comparison, scene understanding, object detection, etc.

Information comes from the source page. Please check that page for current details and terms.

Keywords

autonomous drivinghuman drivingCARLA simulatorscene datasetbehavior analysisobject detection

Access & license

License: License statement is still being checked | Free to access

Why this is hard to get on your own

Obtain simulated driving scene data combining human and autonomous driving behaviors for behavior comparison and model training.

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