Statements (95)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:vehicles
gptkb:automotive_industry |
| gptkbp:aims_to_improve |
vehicle safety
|
| gptkbp:collaborated_with |
academic institutions
technology partners |
| gptkbp:collaborates_with |
automakers
|
| gptkbp:developed_by |
gptkb:NVIDIA_Corporation
automotive manufacturers automotive safety standards industry standards in mind |
| gptkbp:enables |
autonomous navigation
over-the-air updates real-time data processing real-time decision making computer vision applications remote vehicle monitoring autonomous delivery systems |
| gptkbp:features |
high-performance computing capabilities
AI computing capabilities |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA Drive
|
| gptkbp:includes |
gptkb:NVIDIA_Drive_AGX
NVIDIA Orin So C NVIDIA Drive PX platform |
| gptkbp:integrates_with |
sensor technologies
|
| gptkbp:is_based_on |
NVIDIA's AI technology
|
| gptkbp:is_compatible_with |
various vehicle models
ADAS systems 5 G networks Li DAR systems |
| gptkbp:is_designed_for |
real-time traffic analysis
level 2 to level 5 automation |
| gptkbp:is_designed_to |
improve traffic flow
reduce traffic accidents |
| gptkbp:is_enhanced_by |
machine learning techniques
computer vision capabilities |
| gptkbp:is_focused_on |
sustainable transportation solutions
autonomous vehicle research |
| gptkbp:is_incorporated_in |
vehicle infotainment systems
|
| gptkbp:is_integrated_with |
gptkb:cloud_services
cloud computing services vehicle control systems machine learning frameworks advanced driver assistance systems (ADAS) vehicle-to-everything (V2 X) communication. |
| gptkbp:is_optimized_for |
energy efficiency
|
| gptkbp:is_part_of |
smart city initiatives
future mobility solutions NVIDIA's AI ecosystem NVIDIA's automotive solutions automotive AI solutions NVIDIA's automotive portfolio NVIDIA's strategic initiatives |
| gptkbp:is_promoted_by |
NVIDIA's marketing campaigns
|
| gptkbp:is_regarded_as |
a leader in automotive AI
|
| gptkbp:is_supported_by |
NVIDIA's GPU technology
NVIDIA's software stack NVIDIA's research and development NVIDIA's research and development team |
| gptkbp:is_tested_for |
automotive manufacturers
real-world scenarios research institutions urban environments various driving scenarios |
| gptkbp:is_used_by |
fleet operators
|
| gptkbp:is_used_for |
data collection
fleet management driver assistance systems |
| gptkbp:is_used_in |
commercial vehicles
self-driving cars robotaxis |
| gptkbp:is_utilized_by |
ride-sharing services
|
| gptkbp:is_utilized_for |
vehicle-to-infrastructure communication
logistics and delivery services |
| gptkbp:is_utilized_in |
commercial vehicles
public transportation systems |
| gptkbp:offers |
high-performance computing
simulation tools for testing |
| gptkbp:provides |
real-time data processing
simulation tools software development kits (SDKs) high-definition mapping autonomous driving solutions sensor fusion capabilities |
| gptkbp:supports |
multiple sensor types
sensor fusion technology high-definition mapping deep learning algorithms V2 X communication multi-sensor data processing |
| gptkbp:used_in |
self-driving cars
|
| gptkbp:utilizes |
gptkb:AI_technology
CUDA architecture |
| gptkbp:bfsParent |
gptkb:NVIDIA_Corporation
gptkb:NVIDIA |
| gptkbp:bfsLayer |
4
|