Statements (55)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:vehicles
|
gptkbp:aims_to |
improve transportation efficiency
reduce traffic accidents |
gptkbp:collaborates_with |
automotive manufacturers
|
gptkbp:competes_with |
gptkb:Waymo
gptkb:cruise_ships gptkb:Tesla_Autopilot |
gptkbp:designed_for |
self-driving cars
|
gptkbp:developed_by |
gptkb:Aurora_Innovation
commercial use |
gptkbp:has_features |
path planning
obstacle detection real-time mapping |
gptkbp:has_part |
control algorithms
data processing unit sensor suite |
https://www.w3.org/2000/01/rdf-schema#label |
Aurora Driver
|
gptkbp:is_adopted_by |
transportation companies
fleet operators logistics firms |
gptkbp:is_connected_to |
smart city infrastructure
vehicle-to-everything (V2 X) communication other autonomous systems |
gptkbp:is_documented_in |
industry reports
patents technical papers |
gptkbp:is_evaluated_by |
gptkb:safety_standards
performance metrics safety metrics efficiency metrics |
gptkbp:is_influenced_by |
regulatory changes
public perception AI advancements |
gptkbp:is_integrated_with |
logistics solutions
ride-hailing services |
gptkbp:is_part_of |
future mobility solutions
autonomous vehicle ecosystem Aurora Innovation's technology suite |
gptkbp:is_promoted_by |
marketing campaigns
|
gptkbp:is_regulated_by |
transportation authorities
|
gptkbp:is_supported_by |
gptkb:cloud_computing
user feedback research partnerships |
gptkbp:is_tested_for |
real-world scenarios
various cities |
gptkbp:is_used_in |
gptkb:public_transportation
delivery services |
gptkbp:operates_in |
urban environments
highway environments |
gptkbp:receives_funding_from |
venture capital firms
|
gptkbp:uses_technology |
gptkb:machine_learning
computer vision Li DAR |
gptkbp:bfsParent |
gptkb:Aurora_Innovation
|
gptkbp:bfsLayer |
6
|