|
gptkbp:instance_of
|
gptkb:AI_technology
|
|
gptkbp:addresses
|
regulatory challenges
|
|
gptkbp:aims_to
|
full autonomy
|
|
gptkbp:aims_to_improve
|
road safety
|
|
gptkbp:assets
|
gptkb:cloud_computing
|
|
gptkbp:collaborates_with
|
automotive manufacturers
|
|
gptkbp:contributes_to
|
sustainable mobility
|
|
gptkbp:developed_by
|
gptkb:Intel_Corporation
|
|
gptkbp:enables
|
autonomous navigation
|
|
gptkbp:enables_features_like
|
lane keeping assistance
|
|
gptkbp:enhances
|
sensor fusion
|
|
gptkbp:enhances_safety_through
|
predictive analytics
|
|
gptkbp:facilitates
|
autonomous fleet management
|
|
gptkbp:focuses_on
|
gptkb:vehicles
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Intel AI Solutions for Autonomous Driving
|
|
gptkbp:improves
|
traffic management
|
|
gptkbp:includes
|
computer vision
|
|
gptkbp:integrates_with
|
gptkb:5_G_technology
|
|
gptkbp:is_compatible_with
|
various sensor types
|
|
gptkbp:is_designed_for
|
urban environments
|
|
gptkbp:is_focused_on
|
safety and reliability
|
|
gptkbp:is_integrated_with
|
advanced driver-assistance systems (ADAS)
|
|
gptkbp:is_part_of
|
smart transportation systems
Intel's broader AI strategy
|
|
gptkbp:is_supported_by
|
research partnerships
|
|
gptkbp:is_tested_for
|
real-world scenarios
|
|
gptkbp:is_used_in
|
self-driving cars
|
|
gptkbp:offers
|
data analytics tools
real-time monitoring
|
|
gptkbp:provides
|
simulation tools
edge computing capabilities
|
|
gptkbp:provides_support_for
|
vehicle-to-everything (V2 X) communication
|
|
gptkbp:reduces
|
human error
|
|
gptkbp:supports
|
real-time data processing
|
|
gptkbp:supports_technologies_such_as
|
Li DAR
|
|
gptkbp:utilizes
|
gptkb:machine_learning
deep learning
|
|
gptkbp:bfsParent
|
gptkb:Intel
|
|
gptkbp:bfsLayer
|
4
|