|
gptkbp:instance_of
|
gptkb:vehicles
|
|
gptkbp:collection
|
road conditions
weather data
real-time traffic data
|
|
gptkbp:competitors
|
gptkb:Aurora
gptkb:Tesla
gptkb:Waymo
|
|
gptkbp:demographics
|
commuters
urban residents
tech-savvy individuals
|
|
gptkbp:feature
|
delivery services
passenger transport
ride-hailing
|
|
gptkbp:future_plans
|
enhance AI capabilities
increase fleet size
expand to new cities
|
|
gptkbp:goal
|
reduce carbon emissions
improve urban mobility
reduce traffic accidents
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Cruise AV
|
|
gptkbp:investment
|
gptkb:venture_capital
$1 billion
R& D funding
|
|
gptkbp:is_tested_for
|
gptkb:California
gptkb:Michigan
gptkb:Arizona
|
|
gptkbp:manufacturer
|
gptkb:cruise_ships
|
|
gptkbp:operating_system
|
Cruise OS
|
|
gptkbp:parent_company
|
gptkb:General_Motors
|
|
gptkbp:part_of
|
gptkb:Cruise_Automation
|
|
gptkbp:partnership
|
gptkb:Door_Dash
gptkb:Lyft
gptkb:Honda
|
|
gptkbp:project
|
gptkb:prototype
testing
commercial deployment
|
|
gptkbp:regulatory_compliance
|
gptkb:California_DMV
gptkb:NHTSA
|
|
gptkbp:safety_features
|
collision avoidance
lane keeping assist
emergency braking
|
|
gptkbp:service_area
|
gptkb:Los_Angeles
gptkb:San_Francisco
gptkb:Phoenix
|
|
gptkbp:sustainability_efforts
|
energy efficiency
zero emissions
reduced congestion
|
|
gptkbp:technology
|
gptkb:machine_learning
computer vision
Li DAR
|
|
gptkbp:type
|
gptkb:vehicles
|
|
gptkbp:user_interface
|
gptkb:mobile_app
voice commands
in-car display
|
|
gptkbp:year_established
|
gptkb:2016
|
|
gptkbp:bfsParent
|
gptkb:Cruise_Automation
|
|
gptkbp:bfsLayer
|
5
|