|
gptkbp:instance_of
|
gptkb:Database_Management_System
|
|
gptkbp:bfsLayer
|
5
|
|
gptkbp:bfsParent
|
gptkb:KITTI_dataset
|
|
gptkbp:collects
|
gptkb:Boston
gptkb:Singapore
|
|
gptkbp:contains
|
annotations
images
sensor data
lidar data
|
|
gptkbp:created_by
|
gptkb:Aptiv
|
|
gptkbp:developed_by
|
Motional
|
|
gptkbp:features
|
object detection
tracking
semantic segmentation
3 D bounding boxes
|
|
gptkbp:has_style
|
gptkb:JSON
gptkb:CSV
PNG
PCAP
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
nu Scenes dataset
|
|
gptkbp:includes
|
various times of day
multiple weather conditions
|
|
gptkbp:is_available_on
|
gptkb:nu_Scenes.org
|
|
gptkbp:is_designed_for
|
urban environments
complex scenarios
|
|
gptkbp:is_documented_in
|
scene labels
object labels
instance I Ds
|
|
gptkbp:is_part_of
|
autonomous vehicle datasets
|
|
gptkbp:is_related_to
|
gptkb:radar_system
gptkb:Photographer
sensor fusion
Li DAR
|
|
gptkbp:is_supported_by
|
community contributions
open-source tools
|
|
gptkbp:is_used_by
|
universities
industry professionals
research institutions
|
|
gptkbp:is_used_for
|
autonomous driving research
|
|
gptkbp:is_used_in
|
competitions
benchmarking
|
|
gptkbp:is_valued_for
|
algorithm development
system evaluation
|
|
gptkbp:length
|
1.4 TB
|
|
gptkbp:presented_by
|
gptkb:CVPR_2020
|
|
gptkbp:provides
|
360-degree perception
|
|
gptkbp:provides_access_to
|
real-world scenarios
varied road types
diverse traffic situations
|
|
gptkbp:published_by
|
gptkb:IEEE_Transactions_on_Intelligent_Transportation_Systems
|
|
gptkbp:released_in
|
gptkb:2019
|
|
gptkbp:supports
|
gptkb:software_framework
computer vision
simulation environments
data-driven approaches
|