nuScenes: Large-Scale Urban Driving Data from a Full Sensor Suite

A public large-scale dataset for autonomous driving research. It enables the study of challenging urban driving situations using the full sensor suite of a real self-driving car. The dataset is provided by Motional, Inc. and is available under a commercial license.

Use Cases

• Train object detection models based on sensor data from a real self-driving car.
• Develop sensor fusion algorithms based on the full sensor suite described.
• Benchmark autonomous vehicle performance in challenging urban driving situations.
• Research scene understanding and prediction for urban environments.

Strengths

• Designed for studying challenging urban driving situations.
• Includes data from the full sensor suite of a real self-driving car.
• Provided by Motional, Inc., an organization in the autonomous vehicle industry.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Motional, Inc.

Collection Method

Collected from the sensor suite of a real self-driving car.

Time Range

unknown

Freshness

Last updated: unknown

Geography

Urban environments (inferred from description).