Traffic Perception Dataset with Camera and Lidar Data from Munich

A development kit for traffic perception, containing multimodal sensor data. It includes images, point clouds, and benchmark labels for autonomous driving research. The specific row count, column count, and data volume are not provided.

Use Cases

• Train 3D object detection models using point cloud and camera data for traffic scenarios.
• Benchmark perception algorithms on the provided image and lidar data for autonomous driving tasks.
• Develop sensor fusion models leveraging the synchronized camera and lidar data.

Strengths

• Includes multimodal data types such as Image, Point Cloud, Camera, and Lidar.
• Designed for specific benchmark tasks in 3d-object-detection and perception.
• Released under a permissive MIT license.

Limitations

• The dataset size, number of rows, and specific features per sample are unknown.
• The geographic coverage is limited to Munich, which may not represent traffic conditions in other regions.
• The description lacks concrete details on data volume, annotation quality, and temporal coverage.

Provenance

Source

tum-traffic-dataset

Freshness

Last updated on 2025-03-26.

Geography

Munich