Lyft Dataset from Lidar camera
Comprehensive, large-scale dataset featuring the raw sensor camera and LiDAR inputs
We’re thrilled to share a comprehensive, large-scale dataset featuring the raw sensor camera and LiDAR inputs as perceived by a fleet of multiple, high-end, autonomous vehicles in a bounded geographic area. This dataset also includes high quality, human-labelled 3D bounding boxes of traffic agents, an underlying HD spatial semantic map. With this, we aim to empower the community, stimulate further development, and share our insights into future opportunities from the perspective of an advanced industrial Autonomous Vehicles program.
Organizations using or interested in using the resource:
Contributor(s):
Tags: autonomous, data, lidar, camera
Categories: Logiciel, Données
Theme: Données ouvertes, Navettes autonomes, Logiciel Libre
Referent:
Challenge: Abaisser les barrières pour innover sur le véhicule
Key people to solicit:
Other related common: Waymo open dataset, Dataset for autonomous driving, DriveSeg Dataset for Dynamic Driving Scene Segmentation
Wealth sought:
Required skills:
Community of interest: Communauté Voiture Connectée, Communauté autour des navettes autonomes, Communauté autour des données ouvertes
License: ODC Open Database License (ODbL)
Terms of Service (TOS):
Level of development: Disponible mais non validé
Link to my actions board:
Link to my cloud, wiki, drive…:
Needs:
Next step:
Documentation of the experimentations: This dataset includes a high quality semantic map. A semantic map provides context to reason about the presence and motion of the agents in the scenes. The provided map has over 4000 lane segments (2000 road segment lanes and about 2000 junction lanes) , 197 pedestrian crosswalks, 60 stop signs, 54 parking zones, 8 speed bumps, 11 speed humps. All map elements are registered to an underlying geometric map. This is the same frame of reference for all the scenes in the dataset.
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: