Lidar Dataset Volvo
The Cirrus dataset contains 6,285 pairs of RGB, LiDAR Gaussian, and LiDAR Uniform frames. Cirrus has been annotated for eight object categories (described below) across the entire 250-meter LiDAR effective range. It includes both high-speed highway and low-speed urban-road scenarios are included. All images have gone through an anonymization process blurring faces and license plates to eliminate personally identifiable information.
SENSORS
The following sensors were used to collect the Cirrus dataset:
- RGB camera with a resolution of 1920 × 650.
- 2xLuminar Hydra LiDAR Sensors: 10Hz, 64 lines per frame, 1550-nm, 250m effective range, > 200 meters range to 10% reflective target (Lambertian), 120° horizontal FOV, 30° vertical FOV.
- 2xGPS and IMU
ANNOTATIONS
Cirrus contains the followingannotated object categories:
8 categories of objects: Vehicle, Large Vehicle, Pedestrian, Bicycle, Animal, Wheeled Pedestrian, Motorcycle, Trailer.
Organizations using or interested in using the resource:
Contributor(s):
Tags: dataset, lidar, volvo, Autonomous
Categories: Données
Theme: Voiture Connectée, Données ouvertes, Navettes autonomes
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Other related common: Dataset for autonomous driving, Lyft Dataset from Lidar camera, Waymo open dataset
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Community of interest: Communauté autour des navettes autonomes, Communauté autour des données ouvertes
License: CC BY-SA 4.0
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Other informations
List of the actors using or willing of using this common: aucun pour le moment
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