November 28, 2020

SoC

DUBLIN–(BUSINESS WIRE)–Nov 19, 2020–

The “China Automotive Cockpit SoC Technology and Application Research Report, 2020” report has been added to ResearchAndMarkets.com’s offering.

Cockpit SoC Supports More Displays, Beefs up AI, and Improves Functional Safety

Intelligent vehicle E/E architecture ushers in a period of intra-domain integration to trans-domain convergence and to central computer from the distributed one.

For cockpit domain, the intra-domain integration calls for powerful cockpit SoC which caters to the current cockpits’ needs to support more displays, enable more AI features and fuse with ADAS, have safer functionality, among others.

Support for More Displays

Against the trend of one core enabling multiple screens, it remains a decisive factor to being chosen by the user that how many displays a cockpit SoC can support. The third-generation Qualcomm Snapdragon cockpit SoC based on versatile CPU and GPU is an enabler for as many as six to eight displays.

Samsung Exynos Auto V9 processor is in favor of up to six in-vehicle screens and twelve cameras synchronously, which has been already found in Audi smart cockpits.

Designed for smart cockpit, SemiDrive X9 series unveiled by Nanjing Semidrive Technology Co., Ltd in 2020 support eight FHD displays and twelve cameras.

At CES2020, NXP showcased its multi-display solution supporting as many as 11 screens that are enabled by dual i.MX 8QuadMax.

Support for AI

Undoubtedly, NVIDIA stays ahead of its peers as concerns support for AI. NVIDIA rolled out CUDA in 2007 and had the idea of fostering an ecosystem via CUDA then, which is helpful to both hardware sales and its superiority in software as well as to user loyalty. Despite its cockpit SoC gets a clear edge in deep learning, NVIDIA enjoys not big a share in the cockpit processor market because of its automotive business focus on autonomous driving chips.

Through acquisition of Freescale, NXP is in possession of a machine learning expert team, i.e., CogniVue, an image recognition IP development team (acquired by Freescale in September 2015) based in Ottawa, Canada. NXP’s eIQ automated deep learning (DL) toolkit enables the developer to introduce DL algorithms to application programs, and meets the strict automotive standards.

Apart from its efforts in nurturing AI capabilities, NXP has been paying attention to AI defects. Deep learning employs probabilities to recognize objects and the results are inexplicable, which is disastrous to cars with a high demanding on safety. NXP has been studying a method called “explicable AI (xAI)” that extends the machine learning reasoning and probability computing capabilities through addition of more rational and humanlike decision-making methods and extra deterministic dimensions, and that combines all merits of AI with reasoning mechanism to imitate human reaction.

Fusion with ADAS for Higher Functional Safety

Some ADAS features like surround view parking, pedestrian and obstacle recognition tend to be integrated in the cockpit domain, needing the cockpit SoC to consider ADAS related capabilities.

R-Car H3, for example, gets largely utilized in cockpit and can also cope with complex functions such as obstacle detection, driver status recognition, danger prediction

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Global brand name customer adopts iCatch Technology intelligent automotive imaging SoC for fleet management application

Press release

Wednesday 18 November 2020

As high as 90% of the traffic accidents are related to driver’s status, such as fatigue or distraction. Studies have shown that by monitoring driver’s behavior and status, the traffic accidents can be greatly reduced by as much as 20%. Hence, the world’s leading safety assessment institutions and most countries around the world are evaluating the benefit drivers can get by enforcing driver monitoring systems on all vehicles.

Among all types of vehicles, commercial fleets are especially exposed to the potential threats of driver fatigue and distraction due to long driving time and distance. Global brand name customer has adopted iCatch Technology’s intelligent automotive imaging SoC as the heart of fleet management dash camera to combine iCatch Technology’s expertise in image processing and video recording with customer’s own fleet management system and AI algorithm in the cloud. Both the front and in-cabin camera video streams are not only recorded on the local memory but also live streamed via 4G connectivity to the cloud for video backup and live review.

iCatch Technology’s intelligent automotive imaging SoCs can support multi-channel video recording with a total of 4Kp30 processing throughput. With the capability of supporting up to 4-channel video inputs, iCatch Technology’s SoC provides various system architecture options to the customers, from one-camera front recording all the way to four camera surround recording. The built-in high performance ISP can provide state-of-the-art HDR imaging to overcome the high contrast scenes on the road. The embedded H.264/H.265 CODEC can minimize the video file size to maximize the recording time on the memory and to save data cost on video transmission via 4G.

The combination of iCatch Technology’s image processing and end customer’s cloud integration and AI algorithm becomes a new fleet management solution to all fleets running on the road. Fleet managers have real time visibility to each driver and have the video files as evidences for driver coaching and performance review. The high-risk drivers will be identified and highlighted by end customer’s advanced AI algorithm to minimize the efforts searching through the videos. This solution enables the fleet owner to take a proactive approach to improve driver behavior before costly accidents happen.

For more information about iCatch Technology’s products, please visit: www.icatchtek.com. For sales contact, please leave your message at: www.icatchtek.com/Requests

iCatch Technology intelligent automotive imaging SoC is widely adopted for fleet management application

iCatch Technology intelligent automotive imaging SoC is widely adopted for fleet management application

DIGITIMES’ editorial team was not involved in the creation or production of this content. Companies looking to contribute commercial news or press releases are welcome to contact us.

Source Article

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The MarketWatch News Department was not involved in the creation of this content.

Nov 17, 2020 (The Expresswire) —
“Final Report will add the analysis of the impact of COVID-19 on this industry.”

Global “Automotive Infotainment SOC Market” inspects key element of the global market that are crucial to be understood by new market competitors. The report includes layout in terms of market share, size, dynamics and competition in industry. The research reports focuses on factors such as market segments, manufactures, product types, applications, profitability, regional, country wise analysis corresponding to the global Automotive Infotainment SOC market.

Get a Sample Copy of the Report at –https://www.absolutereports.com/enquiry/request-sample/16095876

About Automotive Infotainment SOC Market:

● In 2019, the top 9 companies of Automotive Infotainment SOC had a combined market share of 76% of the global total. These companies include Renesas, Texas Instruments, Infineon Technologies, Qualcomm, NXP Semiconductors, Intel, NVIDIA Corporation, STMicroelectronics and ON Semiconductor. The type of Instrument Panel has taken main market share, and the Passenger Vehicles remain the largest application field, which hold the 90% of the global market.

Automotive Infotainment SOC market competitive landscape provides details and data information by players. Details included are market overview, competition by company status and outlook by region revenue generated in Automotive Infotainment SOC business.

The major Manufactures in Automotive Infotainment SOC Market Report covered are:

● Renesas ● Texas Instruments ● Infineon Technologies ● Qualcomm ● NXP Semiconductors ● Intel ● NVIDIA Corporation ● STMicroelectronics ● ON Semiconductor

To Understand How Covid-19 Impact Is Covered in This Report –https://www.absolutereports.com/enquiry/request-covid19/16095876

Automotive Infotainment SOC Market segmented by Types:

● Instrument Panel ● Back Seat

Automotive Infotainment SOC Market segmented by Applications:

● Passenger Vehicles ● Commercial Vehicles

Global Automotive Infotainment SOC Market Scope and Segment:

The global Automotive Infotainment SOC market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Automotive Infotainment SOC market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by region (country), by Type, and by Application for the period 2015-2026.

Inquire or Share Your Questions If Any Before the Purchasing This Report –https://www.absolutereports.com/enquiry/pre-order-enquiry/16095876

Geographic Segmentation

The report offers exhaustive assessment of different region-wise and country-wise Automotive Infotainment SOC markets such as U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E, etc. Key regions covered in the report are North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.

Key Reasons to Purchase:

● To gain insightful analyses of the market and have comprehensive understanding of the global Automotive Infotainment SOC market and its commercial landscape. ● Assess the Automotive Infotainment SOC production processes, major issues, and solutions to mitigate the development risk. ● To understand the most affecting driving and restraining forces in the Automotive Infotainment SOC market and its impact in the

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Dublin, Nov. 16, 2020 (GLOBE NEWSWIRE) — The “China Automotive Cockpit SoC Technology and Application Research Report, 2020” report has been added to ResearchAndMarkets.com’s offering.

Cockpit SoC Supports More Displays, Beefs up AI, and Improves Functional Safety

Intelligent vehicle E/E architecture ushers in a period of intra-domain integration to trans-domain convergence and to central computer from the distributed one.

For cockpit domain, the intra-domain integration calls for powerful cockpit SoC which caters to the current cockpits’ needs to support more displays, enable more AI features and fuse with ADAS, have safer functionality, among others.

Support for More Displays

Against the trend of one core enabling multiple screens, it remains a decisive factor to being chosen by the user that how many displays a cockpit SoC can support. The third-generation Qualcomm Snapdragon cockpit SoC based on versatile CPU and GPU is an enabler for as many as six to eight displays.

Samsung Exynos Auto V9 processor is in favor of up to six in-vehicle screens and twelve cameras synchronously, which has been already found in Audi smart cockpits.

Designed for smart cockpit, SemiDrive X9 series unveiled by Nanjing Semidrive Technology Co., Ltd in 2020 support eight FHD displays and twelve cameras.

At CES2020, NXP showcased its multi-display solution supporting as many as 11 screens that are enabled by dual i.MX 8QuadMax.

Support for AI

Undoubtedly, NVIDIA stays ahead of its peers as concerns support for AI. NVIDIA rolled out CUDA in 2007 and had the idea of fostering an ecosystem via CUDA then, which is helpful to both hardware sales and its superiority in software as well as to user loyalty. Despite its cockpit SoC gets a clear edge in deep learning, NVIDIA enjoys not big a share in the cockpit processor market because of its automotive business focus on autonomous driving chips.

Through acquisition of Freescale, NXP is in possession of a machine learning expert team, i.e., CogniVue, an image recognition IP development team (acquired by Freescale in September 2015) based in Ottawa, Canada. NXP’s eIQ automated deep learning (DL) toolkit enables the developer to introduce DL algorithms to application programs, and meets the strict automotive standards.

Apart from its efforts in nurturing AI capabilities, NXP has been paying attention to AI defects. Deep learning employs probabilities to recognize objects and the results are inexplicable, which is disastrous to cars with a high demanding on safety. NXP has been studying a method called “explicable AI (xAI)” that extends the machine learning reasoning and probability computing capabilities through addition of more rational and humanlike decision-making methods and extra deterministic dimensions, and that combines all merits of AI with reasoning mechanism to imitate human reaction.

Fusion with ADAS for Higher Functional Safety

Some ADAS features like surround view parking, pedestrian and obstacle recognition tend to be integrated in the cockpit domain, needing the cockpit SoC to consider ADAS related capabilities.

R-Car H3, for example, gets largely utilized in cockpit and can also cope with complex functions such as obstacle detection, driver status

…...

Dublin, Nov. 16, 2020 (GLOBE NEWSWIRE) — The “China Automotive Cockpit SoC Technology and Application Research Report, 2020” report has been added to ResearchAndMarkets.com’s offering.

Cockpit SoC Supports More Displays, Beefs up AI, and Improves Functional Safety

Intelligent vehicle E/E architecture ushers in a period of intra-domain integration to trans-domain convergence and to central computer from the distributed one.

For cockpit domain, the intra-domain integration calls for powerful cockpit SoC which caters to the current cockpits’ needs to support more displays, enable more AI features and fuse with ADAS, have safer functionality, among others.

Support for More Displays

Against the trend of one core enabling multiple screens, it remains a decisive factor to being chosen by the user that how many displays a cockpit SoC can support. The third-generation Qualcomm Snapdragon cockpit SoC based on versatile CPU and GPU is an enabler for as many as six to eight displays.

Samsung Exynos Auto V9 processor is in favor of up to six in-vehicle screens and twelve cameras synchronously, which has been already found in Audi smart cockpits.

Designed for smart cockpit, SemiDrive X9 series unveiled by Nanjing Semidrive Technology Co., Ltd in 2020 support eight FHD displays and twelve cameras.

At CES2020, NXP showcased its multi-display solution supporting as many as 11 screens that are enabled by dual i.MX 8QuadMax.

Support for AI

Undoubtedly, NVIDIA stays ahead of its peers as concerns support for AI. NVIDIA rolled out CUDA in 2007 and had the idea of fostering an ecosystem via CUDA then, which is helpful to both hardware sales and its superiority in software as well as to user loyalty. Despite its cockpit SoC gets a clear edge in deep learning, NVIDIA enjoys not big a share in the cockpit processor market because of its automotive business focus on autonomous driving chips.

Through acquisition of Freescale, NXP is in possession of a machine learning expert team, i.e., CogniVue, an image recognition IP development team (acquired by Freescale in September 2015) based in Ottawa, Canada. NXP’s eIQ automated deep learning (DL) toolkit enables the developer to introduce DL algorithms to application programs, and meets the strict automotive standards.

Apart from its efforts in nurturing AI capabilities, NXP has been paying attention to AI defects. Deep learning employs probabilities to recognize objects and the results are inexplicable, which is disastrous to cars with a high demanding on safety. NXP has been studying a method called “explicable AI (xAI)” that extends the machine learning reasoning and probability computing capabilities through addition of more rational and humanlike decision-making methods and extra deterministic dimensions, and that combines all merits of AI with reasoning mechanism to imitate human reaction.

Fusion with ADAS for Higher Functional Safety

Some ADAS features like surround view parking, pedestrian and obstacle recognition tend to be integrated in the cockpit domain, needing the cockpit SoC to consider ADAS related capabilities.

R-Car H3, for example, gets largely utilized in cockpit and can also cope with complex functions such as obstacle detection, driver status

…...

ROCKVILLE, Md., Nov. 11, 2020 /PRNewswire/ — CEVA, Inc. (NASDAQ: CEVA), the leading licensor of wireless connectivity and smart sensing technologies, today announced that Renesas has licensed a new, high-performance CEVA DSP to power its next-generation automotive System-on-Chip (SoC).

“We are honored that Renesas, a world leading  automotive semiconductor supplier, has selected our leading-edge DSP solution for its next-generation automotive SoC,” said Gideon Wertheizer, CEO of CEVA. “Automotive manufacturers are continually adopting more cameras, radars and other sensors throughout the car to ensure a safer and more automated driving experience. Our leading-edge DSPs along with our software framework and stringent safety support are set to play a pivotal role in deploying these complex systems.”

“In active safety and self-driving applications, DSP processing is a key IP for processing and segmenting sensor data generated by sensors on vehicles,” said Naoki Yoshida, Vice President of the Automotive Digital Products Marketing Division at Renesas. “CEVA’s automotive DSP solution helps us achieve the underlying processing capabilities required for the technological advances of our next-generation automotive SoC customers.”

CEVA’s DSP-based solutions for the automotive market target the most demanding sensor processing and AI workloads associated with automated driving and electrification. The NeuPro-S and SensPro products have been licensed by multiple automotive semiconductors and OEMs to power a variety of intelligent processors ranging from ADAS systems (Imaging, Driver Monitoring Systems, Intelligent Cameras, Radar, V2X Communications) battery management, and powertrain platforms. For automotive infotainment and in-cabin sensing, CEVA offers a range of sound, vision and sensor fusion hardware and software solutions that enhance the user experience and safety of occupants. For more information, visit https://www.ceva-dsp.com/automotive.

About CEVA, Inc.
CEVA is the leading licensor of wireless connectivity and smart sensing technologies. We offer Digital Signal Processors, AI processors, wireless platforms and complementary software for sensor fusion, image enhancement, computer vision, voice input and artificial intelligence, all of which are key enabling technologies for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, robotics, industrial and IoT. Our ultra-low-power IPs include comprehensive DSP-based platforms for 5G baseband processing in mobile and infrastructure, advanced imaging and computer vision for any camera-enabled device and audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For sensor fusion, our Hillcrest Labs sensor processing technologies provide a broad range of sensor fusion software and IMU solutions for AR/VR, robotics, remote controls, and IoT. For artificial intelligence, we offer a family of AI processors capable of handling the complete gamut of neural network workloads, on-device. For wireless IoT, we offer the industry’s most widely adopted IPs for Bluetooth (low energy and dual mode), Wi-Fi 4/5/6 (802.11n/ac/ax) and NB-IoT. Visit us at www.ceva-dsp.com and follow us on Twitter, YouTube,Facebook, LinkedIn and Instagram.

Logo – https://mma.prnewswire.com/media/74483/ceva__inc__logo.jpg

 

Cision View original content:https://www.prnewswire.com/news-releases/cevas-high-performance-dsp-solution-to-power-renesas-next-generation-automotive-soc-301170658.html

SOURCE CEVA, Inc.

Source Article

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The report on Automotive SoC Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forcast years. The global automotive soc market is segmented on the basis of type, application, and geography.

The global Automotive SoC market was valued at US$ 12,931.5 Mn in 2018 and is projected to increase significantly at a CAGR of 8.0% from 2019 to 2028.

Automotive SoC Market Scope:

By type, the market is segmented into Passenger Cars, and Commercial Vehicles. By application, the market is divided into Infotainment Systems, ADAS, and Others.

Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include Texas Instruments Incorporated, Infineon Technologies AG, Intel Corporation, NVIDIA Corporation, Qualcomm Technologies Inc., STMicroelectronics, NEC Corporation, NXP Semiconductors, ON Semiconductor Corporation, and Renesas Electronics Corporation.

trending_up Total Revenue in 2018

$ 12,931.5 Mn

trending_up Market CAGR of the Next Ten Years

8.00%

no_encryption Market Value (US$ Mn), Share (%) and Growth Rate (%) Comparison 2012-2028

Purchase this report or a membership to unlock the market value (US$ Mn), share (%) and growth rate (%) comparison for this industry.

  • By Type
  • By Region
  • By Application
no_encryption Leading Companies Financial Highlights

Purchase this report or a membership to unlock the leading companies financial highlights for this industry.

trending_up Market Revenue of the Next Ten Years

$ XXXX Mn

Key Market Segments

Type

  • Passenger Cars
  • Commercial Vehicles

Application

  • Infotainment Systems
  • ADAS
  • Others

Key Market Players included in the report:

  • Texas Instruments Incorporated
  • Infineon Technologies AG
  • Intel Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies Inc.
  • STMicroelectronics
  • NEC Corporation
  • NXP Semiconductors
  • ON Semiconductor Corporation
  • Renesas Electronics Corporation

Reasons to Get this Report:

In an insight outlook, this research report has dedicated to several quantities of analysis industry research (global industry trends) and Automotive SoC Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Automotive SoC Market; high-growth regions; and market drivers, restraints, and also market chances.

The analysis covers Automotive SoC Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Automotive SoC Market across sections such as also application and representatives.

Additionally, the analysis also has a comprehensive review of the crucial players on the Automotive SoC Market together side their company profiles, SWOT analysis, latest advancements, and business plans.


The analysis objectives of the report are:

  • To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
  • To know the Automotive SoC Market by pinpointing its many subsegments.
  • To profile the important players and analyze their growth plans.
  • To endeavor the amount and value of Automotive SoC sub-markets, depending on
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