The replay of our power-packed webinar “𝗠𝗜𝗣𝗜 𝗔-𝗣𝗛𝗬 & 𝗠𝗔𝗦𝗦 - 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆” is now available! 🎥 If you're working on ADAS, smart cockpits, or high-bandwidth in-vehicle networks, this session dives deep into how MIPI A-PHY Verification IP is enabling: 🔥 16G / 32G high-speed data performance ⚡ Ultra-low latency (≤6µs) for real-time response 📏 15m long-reach automotive links 🛡 Ultra-low PER (<10⁻¹⁹) with strong EMI immunity 🔗 Seamless multi-protocol support via PALs 🚫 No more proprietary PHY complexity From camera-to-ECU to display ecosystems, see how standardized SerDes is redefining reliability, scalability, and performance in modern vehicle architectures. This isn’t just a webinar replay, it’s a roadmap to robust automotive connectivity. #MIPIAphy #AutomotiveElectronics #VerificationIP #ADAS #SerDes #Semiconductor #Truechip

AI MCUs Transforming EV Powertrains Embedded NPU in automotive MCU enables real-time AI, virtual sensors, predictive maintenance, and precise motor control while reducing system complexity and BOM. As electric vehicles evolve toward integrated x-in-1 architectures, combining inverter, OBC, DC-DC, and more, microcontrollers must handle higher intelligence and consolidate multiple functions while meeting strict safety standards. Traditional ECUs struggle with real-time […]

Insight: Chinese Automakers Adopt Raytron, Will Night Vision See Demand Growth? #Chinese #automakers are beginning to adopt far‑#infrared (#FIR) #automotive #nightvision systems from #Raytron and its #InfiRay subsidiary, with four recent vehicle models and #autonomous trucks deploying the technology. InfiRay’s uncooled FIR micro-#bolometer arrays replace costly, bulky cooled medium-wave infrared (MWIR) systems, enabling compact, lighter, and more energy‑efficient sensors with up to 300-meter range and AI‑based object recognition. Starting in 2027, #China-#NCAP testing of autonomous emergency braking (#AEB) will be conducted in low-light conditions, as per #Europe and the #US, which could drive future demand. However, only premium models have deployed the InfiRay sensor so far, and it is likely that demand will only come at the expense of MWIR sensors deployed on European-branded models that are losing sales in China. TechInsights #report https://lnkd.in/eeZmdQwg

Evolution of Automotive Communication Architectures 🚗🔧 Traditional automotive E/E architectures relied on point-to-point wiring, where sensors, actuators, and ECUs were connected via dedicated signal lines 🔌. While functional, this approach resulted in high wiring complexity, increased vehicle weight ⚖️, limited scalability, and challenging diagnostics. The shift to automotive bus systems—CAN, LIN, FlexRay, MOST, and Automotive Ethernet 📡—introduced a shared communication backbone. This enabled deterministic communication ⏱️, message prioritization, fault detection ⚠️, and modular ECU integration. This architectural evolution significantly reduced harness complexity while enabling ADAS, real-time control systems, and the rise of software-defined vehicles 💻. The images below illustrate the transformation—from wiring-heavy designs to efficient, scalable in-vehicle networks. 💬 Which communication technology do you think will dominate future vehicle architectures—and why? #AutomotiveEngineering #EmbeddedSystems #VehicleArchitecture #ADAS #SoftwareDefinedVehicle

Can your sensors handle heavy rain and road spray? 🌧️ As vehicles integrate more cameras and sensors, weather becomes a critical challenge. Rain and spray can compromise visibility, and physical testing alone is costly and unpredictable. By combining transient flow field analysis with vehicle rain simulation, you can predict soiling patterns and turn insight into design improvements: 🔹 Optimize body design 🔹 Strategically place sensors 🔹 Reduce costly physical tests 🔍 How are you addressing this challenge in your development process?   #vehiclesoiling #sensors #adas

Driving Mobility Forward: Unlocking the Potential of Software-Defined Vehicles Software-Defined Vehicles are revolutionizing the automotive industry by enabling smarter, more personalized driving experiences through dynamic software updates and enhanced connectivity. Join us and Analog Devices to learn about the current and future architectures driving SDV innovation and how the unique power requirements of SDV subsystems impact design and performance. View On-Demand: http://arw.li/6048hPo0r #ArrowElectronics #SoftwareDefinedVehicles #SDV #AutomotiveEngineering #FutureOfMobility #AnalogDevices

For years, the industry relied on hardware redundancy to manage failover. But identical sensors often fail for identical reasons. In SAE International's latest Automotive Engineering issue, Magna’s David Doria explores why the future of ADAS safety lies in multi-modal sensor fusion — not duplication. From signal-level fusion to AI-driven trust weighting, the shift toward collaborative sensing is reshaping how we design for resilience, scalability, and real-world reliability. If we want safer systems in fog, glare, occlusion, and road contamination — collaboration must replace redundancy. Read the full article here: https://bit.ly/46nT0oS

ADAS has reached a point where capability alone isn’t the differentiator. A lot of the real progress now comes from how well systems collaborate under variability — not just what they can do, but how reliably they do it. I unpack that idea further in this piece that just published in SAE Automotive Engineering.

Frustrated by data "traffic jams" in your next-gen automotive designs? 🚗🚦 As vehicle architectures evolve toward complex zonal models, traditional CAN networks are hitting their limits. Meet the NuMicro® M2A23 series—the ultimate "Data Traffic Cop" for modern in-vehicle networks. 👮♂️📦 Designed to keep data moving fluently, the M2A23 series enables a massive leap in bandwidth. By transitioning to CAN FD (Flexible Data-rate), you gain the ability to transmit up to 64 data bytes per frame, significantly reducing network latency. Why the M2A23 is the ideal "Traffic Cop" for your design: ．Triple-Stream Efficiency: Equipped with up to 3 sets of CAN FD controllers, allowing for robust data bridging and modular expansion across the vehicle. ．High-Voltage Versatility: Supports a wide operating voltage from 2.5V to 5.5V, reducing the need for external level shifters and simplifying your BOM. ．Mission-Critical Reliability: Automotive-grade performance with an operating temperature range of -40°C to +125°C. ．Processing Power: Built on the Arm® Cortex®-M23 core running at 72 MHz, providing the efficiency needed for real-time body and lighting control. 🛠️ Primary Application Clusters: Whether you are designing for high-stress environments or data-intensive systems, the M2A23 ensures seamless transmission for: 🚘 Advanced Exterior Lighting (Mini-LED control) 📡 Ultrasonic Radar & Sensing Modules ⚡ Body Control Modules (BCM) Stop settling for bandwidth bottlenecks. Upgrade to the high-speed future of automotive networking. 👉 Explore the NuMicro® M2A23 Datasheet here: https://lnkd.in/gWDFcnkr #Nuvoton #M2A23 #AutomotiveDesign #CANFD #Microcontrollers #InVehicleNetworking #EmbeddedSystems #SmartMobility #AutomotiveEngineering #ZonalArchitecture

🚀 Driving Edge Intelligence: Meet the VD100 at Embedded World 2026! We are thrilled to kick off our product spotlight for embedded world Exhibition&Conference with the VD100 Development Board. Powered by the AMD Versal™ AI Edge XCVE2302, this board is designed for developers who need high-performance AI inference without the latency. Why the VD100 stands out: 💠 Adaptive Acceleration: Features AIE-ML and DSP engines optimized for sensor fusion and complex AI algorithms. 💠Production-Ready: The pluggable module design allows you to transition seamlessly from prototyping to a custom carrier board for mass production. 💠High-Speed Connectivity: Integrated PCIe 4.0 x4, 12.5G Optical, and MIPI Lane x4 for advanced vision and data tasks. Whether you are working on autonomous driving, predictive factory maintenance, or aerospace payloads, the VD100 is built to scale. 📍 Visit us at Hall 5, Booth 437 to see it in action! #AMDVersal #AIEdge #EmbeddedSystems #MachineLearning #IndustrialAutomation #EW26