Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
semiconductor
|
| gptkbp:are |
cost-effective
scalable compact energy efficient highly reliable designed for harsh environments used in smart city applications integrated with cloud services designed for scalability field-tested used in public transportation systems designed for high reliability used in off-road vehicles used in emergency response vehicles used in urban environments compatible with various sensors developed with safety in mind integrated into OEM systems part of the automotive supply chain part of the connected vehicle ecosystem part of the future of mobility part of the smart transportation initiative used in collision avoidance systems used in fleet management used in highway driving used in logistics and delivery systems used in parking assistance used in research and development used in vehicle-to-vehicle communication part_of_the_Mobileye_ecosystem |
| gptkbp:designedFor |
computer vision
|
| gptkbp:developedBy |
ADAS applications
|
| gptkbp:enables |
real-time analytics
real-time processing |
| gptkbp:enhances |
safety features
|
| gptkbp:features |
multi-core architecture
|
| gptkbp:firstIntroduced |
2007
|
| https://www.w3.org/2000/01/rdf-schema#label |
EyeQ chips
|
| gptkbp:improves |
driver experience
|
| gptkbp:includes |
hardware accelerators
|
| gptkbp:integration |
machine learning algorithms
|
| gptkbp:producedBy |
gptkb:Mobileye
|
| gptkbp:provides |
high-performance computing
|
| gptkbp:reduces |
processing latency
|
| gptkbp:successor |
gptkb:EyeQ_4
|
| gptkbp:suitableFor |
object detection
lane detection traffic sign recognition |
| gptkbp:supports |
advanced driver-assistance systems
sensor fusion V2X communication multiple camera inputs |
| gptkbp:usedBy |
various automotive manufacturers
|
| gptkbp:usedIn |
autonomous vehicles
|
| gptkbp:utilizes |
AI technology
|