Abstract is: Mobileye Global Inc. is a company developing autonomous driving technologies and advanced driver-assistance systems (ADAS) including cameras, computer chips and software. Mobileye was acquired by Intel in 2017 and went public again in 2022. Mobileye is based in Jerusalem, Israel, and also has sales and marketing offices in Midtown, Manhattan, US; Shanghai, China; Tokyo, Japan; and Düsseldorf, Germany.
| public company | Q891723 |
| business | Q4830453 |
| P2581 | BabelNet ID | 01881797n |
| 01881797n | ||
| P5531 | Central Index Key | 0001910139 |
| P2088 | Crunchbase organization ID | mobileye-vision-technologies |
| P2013 | Facebook username | Mobileye |
| P646 | Freebase ID | /m/09g96cx |
| P2003 | Instagram username | mobileye_israel |
| P946 | ISIN | NL0010831061 |
| P1278 | Legal Entity Identifier | 213800LGCIT32XWAK965 |
| P4264 | LinkedIn company or organization ID | 24017 |
| P856 | official website | https://www.mobileye.com |
| P1320 | OpenCorporates ID | il/512700436 |
| P3347 | PermID | 4296450943 |
| P3417 | Quora topic ID | Mobileye |
| P3579 | Weibo user ID | 2579184151 |
| P2002 | X username | mobileye |
| P11245 | YouTube handle | MobileyeAWS |
| P17 | country | Israel | Q801 |
| P495 | country of origin | Israel | Q801 |
| P1128 | employees | 3200 | |
| P101 | field of work | vehicular automation | Q3569610 |
| P112 | founded by | Amnon Shashua | Q16132585 |
| P159 | headquarters location | Jerusalem | Q1218 |
| P571 | inception | 1998-11-18 | |
| P452 | industry | automotive industry | Q190117 |
| P1454 | legal form | public company | Q891723 |
| P2295 | net profit | 108370000 | |
| P749 | parent organization | Mobileye Global | Q116985634 |
| P8687 | social media followers | 19868 | |
| P414 | stock exchange | New York Stock Exchange | Q13677 |
| Nasdaq | Q82059 |
| Q123382063 | Accessing a dynamic memory module |
| Q123381972 | Adaptive navigation based on user intervention |
| Q123381572 | Aligning road information for navigation |
| Q123381963 | Anonymous collection of data from a group of entitled members |
| Q123381925 | Cross field of view for autonomous vehicle systems |
| Q123381985 | Crowd sourcing data for autonomous vehicle navigation |
| Q123382365 | Dense structure from motion |
| Q123382265 | Detection and classification systems and methods for autonomous vehicle navigation |
| Q123382225 | Determining lane position of a partially obscured target vehicle |
| Q123382228 | Determining lane position of a partially obscured target vehicle |
| Q123382040 | Estimating distance to an object using a sequence of images recorded by a monocular camera |
| Q123382263 | Fast CNN classification of multi-frame semantic signals |
| Q123382240 | High-resolution automotive lens and sensor |
| Q123382361 | Image processor and methods for processing an image |
| Q123381290 | Image-based velocity control for a turning vehicle |
| Q123382130 | Multiple multithreaded processors with shared data cache |
| Q123382363 | Navigating based on sensed brake light patterns |
| Q123382006 | Navigating in snow |
| Q123382366 | Navigation based on detected response of a pedestrian to navigational intent |
| Q123382375 | Navigation based on liability constraints |
| Q123381953 | Navigation based on liability constraints |
| Q123382246 | Navigation based on liability constraints |
| Q123382008 | Navigation based on sensed looking direction of a pedestrian |
| Q123382379 | Navigation in vehicle crossing scenarios |
| Q123381957 | Navigation with liability tracking |
| Q123382018 | Predicting and responding to cut in vehicles and altruistic responses |
| Q123382218 | Priority based management of access to shared resources |
| Q123382357 | Road profile along a predicted path |
| Q123382239 | Road vertical contour detection |
| Q123382260 | Systems and methods for anonymizing navigation information |
| Q123382377 | Systems and methods for causing a vehicle response based on traffic light detection |
| Q123382232 | Systems and methods for compression of lane data |
| Q123382244 | Systems and methods for detecting an object |
| Q123381965 | Systems and methods for detecting low-height objects in a roadway |
| Q123382029 | Systems and methods for error correction |
| Q123381955 | Systems and methods for navigating a vehicle |
| Q123382041 | Systems and methods for navigating a vehicle |
| Q123381981 | Systems and methods for navigating lane merges and lane splits |
| Q123382017 | Systems and methods for navigating with sensing uncertainty |
| Q123382360 | Trajectory selection for an autonomous vehicle |
| Q123382217 | Using mapped elevation to determine navigational parameters |
| Q16132585 | Amnon Shashua | employer | P108 |
| Q116872571 | Tensor & Tiling Library | developer | P178 |
| Category:Mobileye | wikimedia | |
| Arabic (ar / Q13955) | موبيل آي | wikipedia |
| Catalan (ca / Q7026) | Mobileye | wikipedia |
| Mobileye | wikipedia | |
| Mobileye | wikipedia | |
| en-simple | Mobileye | wikipedia |
| Mobileye | wikipedia | |
| Persian (fa / Q9168) | موبایلآی | wikipedia |
| Mobileye | wikipedia | |
| מובילאיי | wikipedia | |
| Mobileye | wikipedia | |
| 모빌아이 | wikipedia | |
| Mobileye | wikipedia | |
| Mobileye | wikipedia | |
| Mobileye | wikipedia |
Search more.