Lidar Dataset Volvo

From Communauté de la Fabrique des Mobilités


Lidar Dataset Volvo

💼 porté par VOLVO


Dataset volvo.jpg


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

Referent:

Challenge: Augmenter les connaissances partagées en cartographie et usages des véhicules et réseaux de transports

Key people to solicit:

Other related common: Dataset for autonomous driving, Lyft Dataset from Lidar camera, Waymo open dataset

Wealth sought:

Required skills:

Community of interest: Communauté autour des navettes autonomes, Communauté autour des données ouvertes

License: CC BY-SA 4.0

Terms of Service (TOS):

Level of development:

Link to my actions board:

Link to my cloud, wiki, drive…:

Needs:

Next step:

Documentation of the experimentations:



Other informations

List of the actors using or willing of using this common: aucun pour le moment

List of the workshop reports related to this common: