Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:applies_to |
gptkb:robot
|
| gptkbp:collaborated_with |
automotive manufacturers
research institutions |
| gptkbp:collaborations |
human drivers
|
| gptkbp:dependency |
high-definition maps
|
| gptkbp:developed_by |
gptkb:DJ
simulation technologies |
| gptkbp:enables |
real-time decision making
|
| gptkbp:engages_in |
urban mobility solutions
|
| gptkbp:enhances |
safety in transportation
|
| gptkbp:facilitates |
big data
advanced algorithms artificial neural networks |
| https://www.w3.org/2000/01/rdf-schema#label |
Driverless AI
|
| gptkbp:impact |
transportation industry
|
| gptkbp:influenced_by |
startups
|
| gptkbp:integrates_with |
gptkb:Photographer
|
| gptkbp:is_adopted_by |
public transport systems
|
| gptkbp:is_aimed_at |
reducing traffic congestion
|
| gptkbp:is_analyzed_in |
data scientists
|
| gptkbp:is_associated_with |
gptkb:technology
|
| gptkbp:is_challenged_by |
public perception
technical limitations |
| gptkbp:is_connected_to |
gptkb:XMPP_Extension_Protocol
smart infrastructure |
| gptkbp:is_enhanced_by |
edge computing
|
| gptkbp:is_evaluated_by |
performance metrics
industry standards user experience pilot programs |
| gptkbp:is_expected_to |
reduce emissions
transform mobility |
| gptkbp:is_explored_in |
research papers
venture capitalists |
| gptkbp:is_influenced_by |
gptkb:municipality
consumer demand |
| gptkbp:is_informed_by |
user feedback
|
| gptkbp:is_integrated_with |
smart home systems
vehicle-to-everything communication |
| gptkbp:is_linked_to |
sustainability efforts
|
| gptkbp:is_part_of |
gptkb:National_Park
smart city initiatives future mobility solutions |
| gptkbp:is_promoted_by |
tech companies
demonstration projects |
| gptkbp:is_related_to |
data analytics
|
| gptkbp:is_subject_to |
cybersecurity threats
ethical considerations |
| gptkbp:is_supported_by |
gptkb:Cloud_Computing_Service
government initiatives public-private partnerships |
| gptkbp:is_tested_for |
real-world scenarios
safety protocols various environments |
| gptkbp:is_used_for |
logistics and delivery
|
| gptkbp:is_utilized_in |
traffic management
ride-sharing services |
| gptkbp:provides |
computer vision
|
| gptkbp:reduces |
human error in driving
|
| gptkbp:requires |
high computational power
|
| gptkbp:research |
academic institutions
|
| gptkbp:supports |
machine learning frameworks
|
| gptkbp:used_in |
gptkb:engine
|
| gptkbp:utilizes |
deep learning
|
| gptkbp:bfsParent |
gptkb:H2_O.ai
|
| gptkbp:bfsLayer |
5
|