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{{short description|Fabless semiconductor design company}}
{{multiple
|{{third-party|date=September 2018}}
{{POV-check|talk=WP:Promotion|date=January 2016}}
}}
{{Infobox company
{{Infobox company
| image = Ambarella Logo.svg
| image = Ambarella Logo.svg
| name = Ambarella Inc.
| name = Ambarella, Inc.
| type = Public
| type = [[Public company|Public]]
| traded_as = {{NASDAQ|AMBA}}<br/>[[Russell 2000 Index|Russell 2000 Component]]
| traded_as = {{ubl|{{NASDAQ|AMBA}}|[[Russell 2000]] component}}
| genre = <!-- Only used with media and publishing companies -->
| genre = <!-- Only used with media and publishing companies -->
| fate =
| fate =
| predecessor =
| predecessor =
| successor =
| successor =
| foundation = {{Start date|2004}}
| foundation = {{Start date and age|2004|1|15}}
| founders = {{ubl|Feng-Ming (Fermi) Wang|Les Kohn}}
| founder =
| defunct =
| defunct =
| location_city = [[Santa Clara, California]]
| location_city = [[Santa Clara, California]]
| location_country = [[United States]]
| location_country = United States
| location =
| location =
| locations =
| locations =
| area_served =
| area_served =
| key_people = {{ubl|class=nowrap|Feng-Ming (Fermi) Wang|{{small|(Founder and CEO)}}}}
| key_people = {{ubl|class=nowrap
|Feng-Ming Wang ([[Chief executive officer|CEO]])
{{ubl|class=nowrap|Les Kohn|{{small|(Founder and CTO)}}}}
|Les Kohn (CTO)
{{ubl|class=nowrap|Casey Eichler|{{small|(CFO)}}}}
|Casey Eichler ([[Chief financial officer|CFO]])
{{ubl|class=nowrap|Chan Lee|{{small|(VP of VLSI)}}}}
|Alberto Broggi ([[General manager|GM]] [[VisLab]])}}
{{ubl|class=nowrap|John Ju|{{small|(VP of Software)}}}}
| industry = [[Semiconductors]]
{{ubl|class=nowrap|Didier LeGall|{{small|(EVP)}}}}
| products =
{{ubl|class=nowrap|Chris Day|{{small|(VP of Mktg)}}}}
| services =
{{ubl|class=nowrap|Prof. Alberto Broggi|{{small|(GM [[VisLab]])}}}}
| revenue = {{decrease}} {{US$|226 million|link=yes}} (2024)
| industry = [[Semiconductors]]
| operating_income = {{decrease}} {{US$|-155 million}} (2024)
| products =
| net_income = {{decrease}} {{US$|-169 million}} (2024)
| services =
| assets = {{decrease}} {{US$|658 million}} (2024)
| revenue =
| equity = {{decrease}} {{US$|560 million}} (2024)
| operating_income =
| net_income =
| owner =
| num_employees = 915 (2024)
| aum = <!-- Only used with financial services companies -->
| assets =
| parent =
| equity =
| divisions =
| owner =
| subsid =
| homepage = {{URL|ambarella.com}}
| num_employees = 750 (2019)
| footnotes = Financials {{asof|2024|01|31|lc=y|df=US}}<ref name=10K>{{cite web |url=https://www.sec.gov/ix?doc=/Archives/edgar/data/1280263/000095017024038555/amba-20240131.htm |title=Ambarella Inc. Fiscal 2024 Annual Report (Form 10-K) |date=29 March 2024 |website=SEC.gov |publisher=[[U.S. Securities and Exchange Commission]]}}</ref>
| parent =
| divisions =
| subsid =
| homepage = {{URL |ambarella.com }}
| footnotes =
}}
}}
[[File:Maginon DV-10Z - board 1 - Ambarella A2-A1-RH-0391.jpg|thumb|Ambarella A2-A1-RH, used in a [[camcorder]]]]

'''Ambarella, Inc.''' ({{NASDAQ|AMBA}}) is a [[Fabless manufacturing|fabless semiconductor]] design company<ref>{{cite web|url=http://investor.ambarella.com/secfiling.cfm?filingid=1193125-13-141693&cik=#D465523D10K_HTM_TX465523_2|title=AMBARELLA ANNUAL REPORT|last=|first=|date=|website=|archive-url=|archive-date=|dead-url=|access-date=}}</ref>, focusing on low-power, high-definition ([[High-definition video|HD]]) and [[Ultra-high-definition television|Ultra HD]] video compression, [[image processing]], and [[computer vision]] processors. Ambarella's products are used in a wide variety of human and computer vision applications, including video security, [[Advanced Driver Assistance Systems|advanced driver assistance systems (ADAS)]], electronic mirror, [[dashcam|drive recorder]], [[Driver Monitoring System|driver and in-cabin monitoring]], [[autonomous driving]], and [[robotics]] applications. Ambarella's system on chips ([[System on chip|SoCs]]) are designed to deliver a combination of video compression, image processing, and computer vision performance with low-power operation to enable cameras to extract data from high-resolution video streams.
'''Ambarella, Inc.''' is an American [[Fabless manufacturing|fabless semiconductor]] design company,<ref name=10K /> focusing on low-power, high-definition ([[High-definition video|HD]]) and [[Ultra-high-definition television|Ultra HD]] video compression, [[image processing]], and [[computer vision]] processors.<ref>{{Cite web |title=AMBA.OQ - Ambarella Inc |url=https://www.reuters.com/markets/companies/AMBA.OQ/ |access-date=2022-09-21 |website=www.reuters.com}}</ref> Ambarella's products are used in a wide variety of human and computer vision applications, including video security, [[Advanced Driver Assistance Systems|advanced driver assistance systems (ADAS)]], electronic mirror, [[dashcam|drive recorder]], [[Driver Monitoring System|driver and in-cabin monitoring]], [[autonomous driving]], and [[robotics]] applications. Ambarella's system on chips ([[System on chip|SoCs]]) are designed to deliver a combination of video compression, image processing, and computer vision performance with low-power operation to enable cameras to extract data from high-resolution video streams.


== History ==
== History ==
Ambarella was founded in 2004 by Feng-Ming (Fermi) Wang and Les Kohn with the goal of developing high-definition [[H.264]] video [[encoders]] for the professional [[broadcast]] market. Soon after, Ambarella applied this same technology to consumer video and security [[IP camera]] markets, focusing on the development of low-power, [[data compression|compression]]-efficient chips capable of producing high-quality imagery in challenging lighting and high-motion environments. Over the next decade, Ambarella chips were featured in a number of notable consumer camera products, including the [[GoPro]] Hero, the [[Dropcam]] by [[Google Nest|Nest]], and the [[DJI Phantom]] series of [[Quadcopters|drones]].
Ambarella was founded in 2004 by Feng-Ming (Fermi) Wang and Les Kohn with the goal of developing high-definition [[H.264]] video [[data compression|encoders]] for the professional [[broadcast]] market.<ref>{{cite web |url=https://www.forbes.com/companies/ambarella |title=Forbes Profile: Ambarella |access-date=9 September 2022 |website=[[Forbes]]}}</ref> Soon after, Ambarella applied this same technology to consumer video and security [[IP camera]] markets, focusing on the development of low-power, [[data compression|compression]]-efficient chips capable of producing high-quality imagery in challenging lighting and high-motion environments.


Over the next decade, Ambarella chips appeared in a number of consumer camera products, including the [[GoPro]] Hero (up until the Hero 5 series), the [[Dropcam]] by [[Google Nest|Nest]], [[Garmin]] automotive dash cams<ref>{{cite web|url=https://dashcamtalk.com/garmin-dash-cam-55/|title=Garmin Dash Cam 55}}</ref><ref>{{cite web|url=https://www.facebook.com/ambarellacorp/posts/garmin-launches-four-new-bluetooth-and-wifi-dashcams-with-ambarella-inside-the-l/2038896712886450/|title=Garmin launches four new Bluetooth and WiFi dashcams with Ambarella inside|website=[[Facebook]] }}</ref> and the [[DJI Phantom]] series of [[Quadcopters|drones]]. In professional markets, Ambarella chips were used in high-end broadcasting encoders such as from Harmonic Inc, and in IP cameras for surveillance from companies like Axis Communications and Bosch.
In July 2015 Ambarella acquired [[VisLab]]<ref>{{cite web|url=https://www.ambarella.com/news/79/74/Ambarella-Acquires-VisLab-a-European-Developer-of-Computer-Vision-and-Intelligent-Automotive-Control-Systems|title=Ambarella Acquires VisLab, a European Developer of Computer Vision and Intelligent Automotive Control Systems - Ambarella|website=www.ambarella.com}}</ref>, a pioneer in perception systems and autonomous vehicle research founded by Professor [[Alberto Broggi]]. [[VisLab]] has a history of developing computer vision and [[intelligent control]] systems for automotive and commercial applications, including [[Advanced Driver Assistance Systems|ADAS]] and autonomous vehicles. Subsequent generations of Ambarella SoCs incorporated VisLab perception technologies at the hardware level, with the goal of targeting automotive [[OEM]] camera designs across all of [[Automated driving system#Levels of automation according to SAE|SAE’s six levels of driving automation]]<ref>{{cite web|url=https://blog.ansi.org/2018/09/sae-levels-driving-automation-j-3016-2018/|title=SAE Levels of Driving Automation}}</ref> (ranging from fully manual to fully automated or “steering wheel optional”).


== Technologies ==
== Technology ==
In January 2022, Ambarella announced its new Artificial Intelligence Image Signal Processor.<ref>{{Cite web |title=Ambarella introduces new AI-based image signal processor |url=https://www.greencarcongress.com/2022/01/20220107-ambarellaisp.html |access-date=2022-09-21 |website=Green Car Congress}}</ref> This AI-based ISP technology is “capable of recording 8K video or four 4K video streams” and “enhances color imagining and applies HDR in ultra-low light conditions.”<ref>{{Cite web |last=Surfaro |first=Steve |date=2022-01-26 |title=Ambarella's New SoC Makes AI Processing a Reality |url=https://www.securityinfowatch.com/video-surveillance/article/21254042/ambarellas-new-soc-makes-ai-processing-a-reality |access-date=2022-09-21 |website=www.securityinfowatch.com}}</ref>
Ambarella develops intelligent [[embedded systems|embedded processors]] for a range of camera markets—including security, [[wearable technology|wearable]], drone, [[action camera|sports/action]], and automotive—with an emphasis on several core technologies.


== Acquisitions and partnerships ==
'''Dedicated Hardware Architecture for Computer Vision'''
In July 2015, Ambarella acquired [[VisLab]],<ref>{{cite web |title=Ambarella Acquires VisLab, a European Developer of Computer Vision and Intelligent Automotive Control Systems - Ambarella |url=https://www.ambarella.com/news/79/74/Ambarella-Acquires-VisLab-a-European-Developer-of-Computer-Vision-and-Intelligent-Automotive-Control-Systems |website=www.ambarella.com}}</ref> a pioneer in perception systems and autonomous vehicle research founded by Professor [[Alberto Broggi]]. [[VisLab]] has a history of developing computer vision and [[intelligent control]] systems for automotive and commercial applications, including [[Advanced Driver Assistance Systems|ADAS]] and autonomous vehicles. Subsequent generations of Ambarella SoCs incorporated VisLab perception technologies at the hardware level, with the goal of targeting automotive [[OEM]] camera designs across all of [[Automated driving system#Levels of automation according to SAE|SAE’s six levels of driving automation]]<ref>{{cite web |title=SAE Levels of Driving Automation |url=https://blog.ansi.org/2018/09/sae-levels-driving-automation-j-3016-2018/}}</ref> (ranging from fully manual to fully automated or “steering wheel optional”).


In November 2021, the company purchased Oculii, a software development company focused on improving “the resolution of radars in self-driving cars and autonomous vehicles."<ref>{{Cite web |last=Bush |first=John |date=2022-01-20 |title=Dayton technology firm acquired by California company for over $300M |url=https://www.bizjournals.com/dayton/news/2022/01/20/oculii-acquisition.html |access-date=2022-10-04 |website=www.bizjournals.com}}</ref>
Known as CVflow®, Ambarella’s computer vision architecture includes a dedicated hardware engine programmed with a high-level algorithm description, allowing [[Convolutional Neural Network|convolutional neural networks (CNNs)]] trained with industry-standard tools (such as [[Caffe (software)|Caffe]] and [[TensorFlow]]) to be mapped onto CVflow-based chips. This approach represents a marked difference from that of general-purpose architectures, such as those offered by [[GPU|GPUs]] and [[CPU|CPUs]], which are popular alternatives for computer vision processing.


In June 2022, Ambarella Inc. and [[Inceptio Technology]] announced their partnership. Incepto chose four of Ambarella's CVflow SoCs for its automotive-grade central computing platform.<ref name=":0">{{Cite web |date=2022-06-22 |title=Inceptio Technology partners with Ambarella to deliver Level 3 automated driving |url=https://www.thetrucker.com/trucking-news/equipment-tech/inceptio-technology-partners-with-ambarella-to-deliver-level-3-automated-driving |access-date=2022-10-17 |website=The Trucker |language=en-US}}</ref> Ambarella’s SoCs technology provides simultaneous power processing for “seven 8MP cameras, including AI compute, for surround camera perception and front ADAS safety features like collision avoidance.<ref name=":0" />
'''Stereovision'''


In November 2022, Ambarella and [[Einfochips|elnfochips]] partnered to design a new line of AI camera products.<ref>{{Cite web |date=2022-11-01 |title=Ambarella, eInfochips teaming up on AI camera products |url=https://www.securityinfowatch.com/video-surveillance/cameras/press-release/21285728/ambarella-ambarella-einfochips-teaming-up-on-ai-camera-products |access-date=2022-11-07 |website=www.securityinfowatch.com}}</ref><ref>{{Cite web |title=Ambarella and eInfochips team up on AI vision design |url=https://www.imveurope.com/news/ambarella-and-einfochips-team-ai-vision-design |access-date=2022-11-07 |website=www.imveurope.com}}</ref>
While Ambarella chips are capable of monocular processing, [[Computer stereo vision|stereovision]] is a key focus area for the company. Using cameras with multiple lenses and [[image sensors]], Ambarella’s stereovision processing enables the capture of three-dimensional imagery via the simulation of [[binocular vision]], making it possible to [[Obstacle avoidance|detect generic obstacles]] that a perception system hasn’t been trained to recognize. This generic 3D obstacle detection can be valuable when deployed in partial or fully autonomous robotics applications where atypical objects may be encountered.


In January 2023, Ambarella and [[Continental_AG|Continental]] announced to partner in the field of AI-based software and hardware systems on the [[Consumer_Electronics_Show|CES 2023]] in Las Vegas. Mainly in the field of advanced driver assistance and highly automated driving. <ref>{{Cite web |date=2023-01-05 |title=Continental and Ambarella Partner On Assisted and Automated Driving Systems With Full Software Stack |url=https://www.continental.com/en/press/press-releases/20230105-ambarella-strategic-partnership/ |access-date=2022-11-07 |website=www.continental.com}}</ref>
'''Edge Design'''


== See also ==
In contrast to [[Cloud computing|cloud]]-dependent hardware technologies, Ambarella’s technologies are designed for use in [[edge computing|edge]] applications, where a significant share of the processing is performed locally, onboard the device. To meet the demands of processing at the edge, Ambarella products prioritize low power consumption, reduced physical footprint, and extended operating temperature ranges.
* [[List of Ambarella products]]

'''Image Processing'''

Ambarella processors include specialized [[digital image processing]] hardware to convert raw image sensor data into color-corrected imagery, removing [[image noise|noise]] and [[distortion|signal distortion]] to improve quality.

The resulting image is then

(a.) presented to the user on a visual display,

(b.) processed by computer vision algorithms to sense the surrounding environment, or

(c.) presented to the user on a visual display and processed by computer vision algorithms to sense the surrounding environment simultaneously.

'''Video encoding'''

Ambarella SoCs use [[data compression]] techniques to encode video streams into popular industry-standard coding formats, including H264 and H265.

== Applications ==
Ambarella processors are designed specifically for automotive, security, consumer (e.g., sports, drone), and industrial/robotics camera applications.

'''Automotive'''

Ambarella automotive SoCs target both [[automotive aftermarket|aftermarket]] and [[OEM]] camera designs. Relevant applications include simple [[dashcam|drive recorders]] (i.e., dash cams), front [[advanced driver assistance system|ADAS]] cameras, [[Driver Monitoring System|driver and in-cabin monitoring systems]], electronic mirrors, 360° [[surround view]] systems with parking assistance, and stereovision cameras for vehicular autonomy. Key automotive features include [[lane departure warning system|lane departure warning]], [[lane departure warning system|lane keeping]], [[forward collision warning]], auto [[emergency brake assist|emergency braking]] (AEB), intelligent headlight control/high beam assist, speed assist, auto [[Intelligent Parking Assist System|parking assist]] (APA), [[blind spot detection]], target tracking, generic [[object detection|obstacle detection]], [[digital elevation model|terrain modeling]], curb/barrier detection, and [[sensor fusion]].

'''Security'''

The company’s professional security and home monitoring camera applications place an emphasis on [[object detection]]/classification ([[Convolutional Neural Network|CNN]]-based), face detection and [[facial recognition system|recognition]], person/pet/vehicle detection, [[automatic number-plate recognition|license plate recognition (ANPR)]], behavioral analysis, and high-resolution image processing in low-light and high-contrast environments. Target camera designs include indoor/outdoor cameras, multi-sensor cameras, [[intelligent transport system|intelligent transport systems (ITS)]] and traffic cameras, [[retail]] cameras, wire-free cameras, and [[smart doorbell|smart video doorbells]].

'''Consumer'''

Building on its history in powering [[mass-market]] consumer video devices, Ambarella continues to target [[action camera|sports/action]] cameras, [[virtual reality|VR]] cameras, [[Quadcopters|drones]], and [[wearable technology|wearable]] cameras. Ambarella consumer processors prioritize high-resolution image processing, video compression, low-power operation, and computer vision features such as smart video editing, target-of-interest tracking, and [[augmented reality]].

'''Industrial and Robotics'''

Ambarella computer vision processors are designed to enable a variety of intelligent [[robotics]] applications, including [[automated guided vehicles|automated guided vehicles (AGVs)]], consumer robots, and industrial/[[machine vision]] solutions. Key features of interest include [[low-latency]] computer vision performance, [[neural network]] processing, [[Computer stereo vision|stereovision]] capabilities, and high-resolution/high-framerate [[video analysis]].

==Awards and Recognition==
* 2009: Global Semiconductor Alliance<ref>{{cite web|url=https://www.gsaglobal.org|title=Global Semiconductor Alliance|}}</ref> (GSA) Start-Up to Watch Award
* 2010: GSA Most Respected Private Semiconductor Company Award
* 2011: GSA Most Respected Private Semiconductor Company Award
* 2012: GSA Most Respected Private Semiconductor Company Award
* 2013: GSA Analyst Favorite Semiconductor Company Award by Morgan Stanley
* 2014: GSA Most Respected Semiconductor Company
* 2014: Ambarella is #12 on Forbes Americas's Best Small Companies 2014<ref>{{cite web|url=https://www.forbes.com/companies/ambarella/#439416204f48|title=Ambarella on the Forbes America's Best Small Companies List|}}</ref>
* 2015: GSA Most Respected Public Semiconductor Company and Best Financially Managed Semiconductor Company Awards for achieving $100M to $500M in annual sales.<ref>{{cite web|url=http://www.ambarella.com/uploads/docs/company-fact-sheet.pdf |title=Fact sheet |website=www.ambarella.com |format=PDF}}</ref>


== References ==
== References ==
Line 117: Line 67:


== External links ==
== External links ==
* {{Official website|http://www.ambarella.com/}}
* {{Official|https://www.ambarella.com/}}
{{Finance links
| name = Ambarella, Inc.
| google = AMBA
| symbol = AMBA
| sec_cik = 1280263
| bloomberg = AMBA:US
| yahoo = AMBA
}}


<!--- Categories --->
<!--- Categories --->
[[Category:2012 initial public offerings]]
[[Category:Companies based in Santa Clara, California]]
[[Category:Companies based in Santa Clara, California]]
[[Category:Companies listed on the Nasdaq]]
[[Category:Semiconductor companies of the United States]]
[[Category:Semiconductor companies of the United States]]

Latest revision as of 17:08, 9 April 2024

Ambarella, Inc.
Company typePublic
IndustrySemiconductors
FoundedJanuary 15, 2004; 20 years ago (2004-01-15)
Founders
  • Feng-Ming (Fermi) Wang
  • Les Kohn
Headquarters
Santa Clara, California
,
United States
Key people
  • Feng-Ming Wang (CEO)
  • Les Kohn (CTO)
  • Casey Eichler (CFO)
  • Alberto Broggi (GM VisLab)
RevenueDecrease US$226 million (2024)
Decrease US$−155 million (2024)
Decrease US$−169 million (2024)
Total assetsDecrease US$658 million (2024)
Total equityDecrease US$560 million (2024)
Number of employees
915 (2024)
Websiteambarella.com
Footnotes / references
Financials as of January 31, 2024[1]
Ambarella A2-A1-RH, used in a camcorder

Ambarella, Inc. is an American fabless semiconductor design company,[1] focusing on low-power, high-definition (HD) and Ultra HD video compression, image processing, and computer vision processors.[2] Ambarella's products are used in a wide variety of human and computer vision applications, including video security, advanced driver assistance systems (ADAS), electronic mirror, drive recorder, driver and in-cabin monitoring, autonomous driving, and robotics applications. Ambarella's system on chips (SoCs) are designed to deliver a combination of video compression, image processing, and computer vision performance with low-power operation to enable cameras to extract data from high-resolution video streams.

History

[edit]

Ambarella was founded in 2004 by Feng-Ming (Fermi) Wang and Les Kohn with the goal of developing high-definition H.264 video encoders for the professional broadcast market.[3] Soon after, Ambarella applied this same technology to consumer video and security IP camera markets, focusing on the development of low-power, compression-efficient chips capable of producing high-quality imagery in challenging lighting and high-motion environments.

Over the next decade, Ambarella chips appeared in a number of consumer camera products, including the GoPro Hero (up until the Hero 5 series), the Dropcam by Nest, Garmin automotive dash cams[4][5] and the DJI Phantom series of drones. In professional markets, Ambarella chips were used in high-end broadcasting encoders such as from Harmonic Inc, and in IP cameras for surveillance from companies like Axis Communications and Bosch.

Technology

[edit]

In January 2022, Ambarella announced its new Artificial Intelligence Image Signal Processor.[6] This AI-based ISP technology is “capable of recording 8K video or four 4K video streams” and “enhances color imagining and applies HDR in ultra-low light conditions.”[7]

Acquisitions and partnerships

[edit]

In July 2015, Ambarella acquired VisLab,[8] a pioneer in perception systems and autonomous vehicle research founded by Professor Alberto Broggi. VisLab has a history of developing computer vision and intelligent control systems for automotive and commercial applications, including ADAS and autonomous vehicles. Subsequent generations of Ambarella SoCs incorporated VisLab perception technologies at the hardware level, with the goal of targeting automotive OEM camera designs across all of SAE’s six levels of driving automation[9] (ranging from fully manual to fully automated or “steering wheel optional”).

In November 2021, the company purchased Oculii, a software development company focused on improving “the resolution of radars in self-driving cars and autonomous vehicles."[10]

In June 2022, Ambarella Inc. and Inceptio Technology announced their partnership. Incepto chose four of Ambarella's CVflow SoCs for its automotive-grade central computing platform.[11] Ambarella’s SoCs technology provides simultaneous power processing for “seven 8MP cameras, including AI compute, for surround camera perception and front ADAS safety features like collision avoidance.[11]

In November 2022, Ambarella and elnfochips partnered to design a new line of AI camera products.[12][13]

In January 2023, Ambarella and Continental announced to partner in the field of AI-based software and hardware systems on the CES 2023 in Las Vegas. Mainly in the field of advanced driver assistance and highly automated driving. [14]

See also

[edit]

References

[edit]
  1. ^ a b "Ambarella Inc. Fiscal 2024 Annual Report (Form 10-K)". SEC.gov. U.S. Securities and Exchange Commission. 29 March 2024.
  2. ^ "AMBA.OQ - Ambarella Inc". www.reuters.com. Retrieved 2022-09-21.
  3. ^ "Forbes Profile: Ambarella". Forbes. Retrieved 9 September 2022.
  4. ^ "Garmin Dash Cam 55".
  5. ^ "Garmin launches four new Bluetooth and WiFi dashcams with Ambarella inside". Facebook.
  6. ^ "Ambarella introduces new AI-based image signal processor". Green Car Congress. Retrieved 2022-09-21.
  7. ^ Surfaro, Steve (2022-01-26). "Ambarella's New SoC Makes AI Processing a Reality". www.securityinfowatch.com. Retrieved 2022-09-21.
  8. ^ "Ambarella Acquires VisLab, a European Developer of Computer Vision and Intelligent Automotive Control Systems - Ambarella". www.ambarella.com.
  9. ^ "SAE Levels of Driving Automation".
  10. ^ Bush, John (2022-01-20). "Dayton technology firm acquired by California company for over $300M". www.bizjournals.com. Retrieved 2022-10-04.
  11. ^ a b "Inceptio Technology partners with Ambarella to deliver Level 3 automated driving". The Trucker. 2022-06-22. Retrieved 2022-10-17.
  12. ^ "Ambarella, eInfochips teaming up on AI camera products". www.securityinfowatch.com. 2022-11-01. Retrieved 2022-11-07.
  13. ^ "Ambarella and eInfochips team up on AI vision design". www.imveurope.com. Retrieved 2022-11-07.
  14. ^ "Continental and Ambarella Partner On Assisted and Automated Driving Systems With Full Software Stack". www.continental.com. 2023-01-05. Retrieved 2022-11-07.
[edit]
  • Official website
  • Business data for Ambarella, Inc.:
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