This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. What strategies will Baidu-Apollo, Cruise, Waymo, AutoX, and others adopt in response to this revolution? OUTLINE The robotic vehicle processor market is expected to reach US$1 billion in 2034, with an estimated […]
Robotic Vehicles: Steering Towards a $1B Market Value Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, you’ll learn about the key role played by multi-camera synchronization, how it works, and examples of autonomous vehicles using this path-breaking technology. Embedded vision is a fundamental component of autonomous mobility systems,
Autonomous driving, electric vehicles, connected and software-defined vehicles, and in-cabin monitoring are all megatrends reshaping the automotive industry. Together, these technologies combine to form a US$1.6 trillion opportunity by 2034, nearly a 10-fold increase compared to 2023. The new report from IDTechEx, “Future Automotive Technologies 2024-2034: Applications, Megatrends, Forecasts“, brings together a portfolio of IDTechEx’s
The US$1.6 Trillion Future of the Automotive Tech Opportunity Read More +
Intel announces agreement to acquire Silicon Mobility SAS for advanced EV energy management and new AI-enhanced family of software-defined vehicle SoCs. News Highlights Acquisition of Silicon Mobility SAS to bring AI efficiencies to electric vehicle (EV) energy management, subject to necessary approvals. New Intel AI-enhanced software-defined vehicle (SDV) SoCs will enable in-vehicle AI such as GenAI
Intel Drives ‘AI Everywhere’ into Automotive Market at CES Read More +
With Addition of CV3-AD635 and CV3-AD655, SoC Family Addresses Full Range of Autonomous and ADAS Vehicle Systems SANTA CLARA, Calif., Jan. 9, 2024 — Ambarella, Inc. (NASDAQ: AMBA), an edge AI semiconductor company, today announced during CES the latest additions to its CV3-AD family of automotive AI domain controllers—the CV3-AD635 and CV3-AD655 systems-on-chip (SoCs). The
First use of next-gen 3D perception network for production targeting 4Q 2024 SVNet enables deep learning-based embedded perception algorithms for automotive developers using TI’s AM62A and TDA4 family of processors for Level 2, including the TDA4VH-Q1 processor for Level 2+ or higher ADAS and AD systems STRADVISION will host Texas Instruments’ SoC demos during CES®
This blog post was originally published at Synopsys’ website. It is reprinted here with the permission of Synopsys. Streaming video. Voice-activated controls. A variety of apps. While these may sound like features in today’s smartphones, they can just as well be applicable to cars. Welcome to the era of software-defined vehicles (SDVs), where sophisticated software
Synopsys at CES 2024: Driving the Future of Software-defined Vehicles Read More +
ISP8200-FS series IP meets the evolving demands of the rapidly expanding automotive market Las Vegas, USA, January 8, 2024–VeriSilicon (688521.SH) today announced its Image Signal Processor (ISP) IP ISP8200-FS and ISP8200L-FS, designed for high-performance automotive applications, have been certified compliant with the ISO 26262 automotive functional safety standard, achieving ASIL B certification for random failures
Li Auto Selects DRIVE Thor for Next-Gen EVs; GWM, ZEEKR and Xiaomi Develop AI-Driven Cars Powered by NVIDIA DRIVE Orin January 8, 2024 — CES — NVIDIA today announced that Li Auto, a pioneer in extended-range electric vehicles (EVs), has selected the NVIDIA DRIVE Thor™ centralized car computer to power its next-generation fleets. NVIDIA also announced
Wave of EV Makers Choose NVIDIA DRIVE for Automated Driving Read More +
News highlights: The industry’s first single-chip radar sensor designed for satellite architectures can increase vehicle sensing ranges beyond 200 meters and enable more accurate advanced driver assistance systems (ADAS) decision-making. New driver chips support safe and efficient control of power flow in battery management or other powertrain systems with functional safety compliance and built-in diagnostics
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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