Py123D: Unified Sensor Library for Autonomous Driving Research

Py123D is a sensor-focused library for autonomous driving datasets developed by the autonomousvision research group, with the latest update recorded in March 2026. It provides a programmatic interface for accessing driving data to support vehicle perception and navigation research.

Use Cases

• Training perception models using raw sensor data streams
• Benchmarking autonomous driving algorithms using the library's integrated data loaders
• Developing sensor fusion techniques for vehicle navigation using multi-modal driving logs

Strengths

• Released under the permissive Apache-2.0 license for commercial and academic use
• Maintained by autonomousvision, a research group known for established driving benchmarks
• Provides a specialized library interface for handling complex sensor data

Limitations

• Specific record counts and column schemas are not documented in the source metadata
• Requires the Py123D library for data access and parsing

Provenance

Source

autonomousvision

Collection Method

sensor

Freshness

The repository is actively maintained with the last update in March 2026.