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gptkbp:instance_of
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gptkb:AI_technology
|
|
gptkbp:analyzes
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surrounding environment
|
|
gptkbp:can_detect
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gptkb:vehicles
pedestrians
road signs
traffic lights
cyclists
|
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gptkbp:collects
|
data for training
|
|
gptkbp:developed_by
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gptkb:Waymo
|
|
gptkbp:enhances
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autonomous driving
|
|
gptkbp:has_a_focus_on
|
autonomous vehicle research
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Waymo's perception system
|
|
gptkbp:improves
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safety
|
|
gptkbp:integrates_with
|
radar sensors
camera systems
lidar sensors
|
|
gptkbp:is_a_key_component_of
|
gptkb:Waymo's_self-driving_cars
|
|
gptkbp:is_capable_of
|
real-time decision making
object recognition
path planning
environment mapping
|
|
gptkbp:is_continuously_improved_by
|
data analysis
|
|
gptkbp:is_critical_for
|
navigation accuracy
|
|
gptkbp:is_designed_for
|
gptkb:vehicles
|
|
gptkbp:is_designed_to
|
handle complex scenarios
adapt to new environments
|
|
gptkbp:is_enhanced_by
|
deep learning techniques
sensor upgrades
|
|
gptkbp:is_essential_for
|
gptkb:Waymo's_autonomous_taxi_service
|
|
gptkbp:is_evaluated_by
|
performance metrics
industry benchmarks
real-world driving tests
simulation tests
|
|
gptkbp:is_influenced_by
|
user feedback
public perception
AI advancements
|
|
gptkbp:is_integrated_with
|
Waymo's mapping system
|
|
gptkbp:is_part_of
|
gptkb:Waymo's_self-driving_technology
Waymo's research initiatives
Waymo's safety protocols
Waymo's technology stack
|
|
gptkbp:is_recognized_for
|
innovation in AI
|
|
gptkbp:is_subject_to
|
gptkb:regulations
|
|
gptkbp:is_supported_by
|
gptkb:cloud_computing
partnerships with universities
|
|
gptkbp:is_tested_for
|
in urban environments
on highways
|
|
gptkbp:is_used_in
|
gptkb:Waymo_One_service
|
|
gptkbp:leadership
|
gptkb:vehicles
|
|
gptkbp:operates
|
in various weather conditions
|
|
gptkbp:provides
|
real-time data
|
|
gptkbp:reduces
|
accidents
|
|
gptkbp:uses
|
gptkb:machine_learning
|
|
gptkbp:utilizes
|
sensor fusion
|
|
gptkbp:bfsParent
|
gptkb:Waymo
|
|
gptkbp:bfsLayer
|
5
|