Datasets › SOTIF-PCOD

SOTIF-PCOD (SOTIF-related Use Case Dataset)

Introduced by Milin Patel et al. in Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case2 May 2024 archive 2025-07-28

SOTIF-PCOD is a dataset generated using the CARLA simulator, specifically designed for Safety of the Intended Functionality (SOTIF) research. It consists of 547 frames of LiDAR point cloud data formatted in the KITTI standard, representing a single SOTIF-related use case.

The dataset captures a multi-lane highway scenario where an Ego-Vehicle, equipped with a LiDAR sensor, operates under varying environmental conditions. These conditions include different weather scenarios such as clear, cloudy, wet, and rainy environments, corresponding to different times of the day, including noon, sunset, and night.

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 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • SOTIF-PCOD

1 variant name, as the archive lists them.

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