Peter Ludwig

📣Today we are announcing a significant step towards producing scalable and cost-effective software for the software-defined vehicle (SDV). Designed for peripheral ECUs such as smart sensors and actuators, 𝐄𝐁 𝐭𝐫𝐞𝐬𝐨𝐬 𝐀𝐮𝐭𝐨𝐂𝐨𝐫𝐞 𝐋𝐢𝐠𝐡𝐭 supports integration into modern zonal architectures and upgrades of existing domain architectures while reducing development complexity and cost. 💡OEMs working to build SDVs can leverage EB tresos AutoCore Light for the efficient integration of smart sensors and actuators into their E/E architectures. 💡Consolidating functions into zonal ECUs and designing peripheral ECUs without OEM specific requirements allows for 𝑎 𝑟𝑒𝑑𝑢𝑐𝑡𝑖𝑜𝑛 𝑖𝑛 𝐸/𝐸 𝑎𝑟𝑐ℎ𝑖𝑡𝑒𝑐𝑡𝑢𝑟𝑒 ℎ𝑎𝑟𝑑𝑤𝑎𝑟𝑒 𝑎𝑛𝑑 𝑅&𝐷 𝑐𝑜𝑠𝑡𝑠 𝑜𝑓 𝑢𝑝 𝑡𝑜 30% compared to typical AUTOSAR Basic software based on Elektrobit’s internal measurements. 💡Peripheral ECUs can be utilized with smaller MCUs, saving costs on hardware and R&D. Read more in the link in the comments. #Elektrobit #EBtresos #SDV #automotiveIndustry #EBtresosAutoCoreLight

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🚀 Engineering in motion! Over the past few weeks, the R&D wing of our platform engineering team has been exploring new ways to make our platform smarter when it comes to resource management and traffic-based scaling. As part of this, we’ve been running a focused PoC using Karpenter and KEDA in our Kubernetes setup, targeting two core goals: ✅ Right-sizing workloads dynamically ✅ Scaling seamlessly with real-time traffic patterns The early results in our R&D environment have been very promising (over 45% cost savings on top of Spot Instances), helping us strike a fine balance between performance and cost efficiency while we build models tailored to our platform’s evolving needs. It’s great to see how open-source tools are enabling us to build with agility and precision. Hats off to the team for driving this initiative with so much thought and momentum! 🙌 #EngineeringExcellence #Kubernetes #KEDA #Karpenter #OpenSource #PlatformEngineering #ScalingSmart #InfraOptimisation #OSS

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Today Lucid, Nuro and Uber have announced a next-generation premium global robotaxi program created exclusively for Uber’s ride-hailing platform. ​ ​By combining the industry-leading software-defined vehicle architecture of the Lucid Gravity, the scalability and proven capability of the Nuro Driver™ Level 4 autonomy system, and Uber’s vast global network and dynamic fleet management, the companies are working together to deliver a fully integrated robotaxi experience developed for comfort, safety, and scale.​ Uber aims to deploy a minimum of 20,000 Lucid vehicles equipped with the Nuro Driver over six years, with the first vehicles expected to launch in a major US city later next year.​ ​Read more about today’s announcement here: https://ow.ly/TsYC30sO8Ic #AutonomousVehicles #Technology #Innovation #Partnership #ElectricVehicles

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What is the impact of GM scrapping Cruise robotaxi? In my opinion, the impact of Cruise stopping its robotaxi development includes several key consequences: 1. Shift in GM’s Strategy – GM is moving away from fully autonomous robotaxis to focus on advanced driver-assist systems like Super Cruise, signaling a more incremental approach to autonomous driving. 2. Financial Reallocation – GM will stop investing in Cruise’s costly robotaxi operations, likely redirecting resources to more immediate revenue-generating areas. 3. Job Implications – Some Cruise employees may be integrated into GM’s technical teams, but layoffs were just announced. 4. Industry Impact – The decision reflects the broader challenges in scaling robotaxi operations, including regulatory hurdles, high costs, and safety concerns. It may also influence other automakers and tech firms working on similar projects. 5. Competitive Landscape – Companies like Waymo and Tesla, which continue investing in robotaxi technology, may gain an advantage as GM steps back from this sector. #car #robotaxi #autonomousdriving ✍️What are your thoughts about current robotaxi technologies? ♻️Please feel free to reshare, and follow me Yue Ma for more.

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Camera calibration has long been a tedious process in ADAS and autonomous driving. I am excited to share that I’ve open-sourced Click-Calib, a tool based on Valeo WoodScape dataset for surround-view camera calibration. No special hardware, patterns, or paid software required—simply drive your car on flat ground, and with just a few clicks, achieve precise calibration! Ideal solution for R&D scenarios. Feel free to check it out! Code: https://lnkd.in/gAscW4rM Paper: https://lnkd.in/gGDJeSGA

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🔄 The shift from Hardware-Driven to Software-Defined? Is it really that hard?  My last post on Software-in-the-Loop (SiL) sparked a lot of questions. A comment from Jagadeesh Velam really stood out: "Many companies cling to legacy workflows, and bosses balk at initial costs or don’t get SIL’s value." This hits on a critical point and I ask myself .... Do these companies ignore the new mega trend SDV, or what is their strategy?  In the era of the Software-Defined Vehicle (SDV), the old "hardware first, software second" model is officially broken. Software now dictates architecture, resources, and timelines.  So, what's the hold-up? It's often a misunderstanding of the goal. Here is one of many examples from the validation area: 💡 The goal isn't to replace HIL with SIL. It's to create a powerful validation ecosystem by using both. ➡️ SIL gives us: Speed, scalability, and validation at the earliest stages.  ➡️ HIL gives us: Physical fidelity and real-world confidence before launch. They are two sides of the same coin. But making them work together requires breaking old habits. Success in the SDV era demands three key shifts:  1️⃣ Early V-ECUs: Build virtual ECUs from day one of a project.  2️⃣ Radical Collaboration: Unite developers, architects, and testers in a single workflow.  3️⃣ New Mindset: Embrace a culture where software leads and hardware enables. The real question isn't if we should change, but are we brave enough to stop building tomorrow's cars with yesterday's methods? Let’s stop fearing the change—and start designing for it. What's the biggest barrier you see in your organization? #SoftwareDefinedVehicle #SDV #AutomotiveEngineering #SIL #HIL #EmbeddedSystems #DigitalTransformation #Innovation #VModel 

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