Alexander Kugler

If you are interested on the progress of Linux in the automotive industry and some of the challenges of building safety architectures on the most widely used open source operating system I highly recommend our recent publication: https://lnkd.in/eQicMDsS I would also like to thank my coauthor Dr. Joachim Schlosser and the entire team at EB and all the partners involved in creating EB corbos Linux for Safety Applications. #EB #ebcl #elektrobit #linux

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If you are working in ADAS developments, don't miss this opportunity. Get detailed insights into methodologies for capturing and analyzing data from various ADAS sensors and ECUs. #ADAS #Webinar #Vector #DataLogging #DataAcquisition #AutomotiveTech #VehicleSafety #AdvancedDriving #SmartMobility #AutomotiveEngineering

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"If only I had known earlier". Who among us hasn't thought that at least once ? If you've ever said it regarding #automotive #software #development for #microcontrollers , then this is the seminar you need to attend. #ETAS #AutomotiveExperts #IfOnlyIHadKnownEarlier

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𝐒𝐃𝐕 𝐚𝐧𝐝 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞: 𝐚 𝐧𝐚𝐭𝐮𝐫𝐚𝐥 𝐜𝐨𝐦𝐛𝐢𝐧𝐚𝐭𝐢𝐨𝐧: Open-source and open collaboration are essential to make the #SDV happen. At Continental we are supporting open-source as a member of the Eclipse Software Defined Vehicle Working Group. Open-source is a development model as well as business model for software. In my view the real strength of open-source can be seen when open-source is used to build up and nurture ecosystems.   Using open-source successfully requires good understanding of it's principles. I would like to make a few shout-outs to great colleagues that have been laying the ground for open-source in Continental.   » eCAL (https://lnkd.in/e2qxAiYV) is a lighthouse open-source project thanks to the great work from Rex Schilasky and his team   » as first supplier Continental has been publishing a FOSS manifesto (https://lnkd.in/eV4MSEAu). Big thanks to Zsuzsanna Gnandt and Klaus Class-Dieter for your efforts in making this happen. Keep up your great work.

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NEW BLOG ABOUT DETECTING UNSAFE OUT-OF-DISTRIBUTION FOR ML At Fraunhofer IESE, we're tackling the challenges of integrating Machine Learning (ML) into safety-critical and financially crucial systems. Our latest blog post dives into our comprehensive multi-layered safety concepts, especially focusing on handling uncertainties in ML components. Highlights: - Understanding Uncertainties: We explore how various factors—data, environment, model architecture—introduce uncertainties in ML outcomes. - Scope Compliance: Learn about our innovative statistical distance-based approach to ensure ML models perform reliably within their intended operational domains. - SafeML: Discover our SafeML method, designed for runtime assessment of contextual relevance, enabling dynamic monitoring and safe system-level adaptation if the ML output is detected as too uncertain. 💡 Curious about the details? Check out our blog post for an in-depth look at our research, with real-world applications in traffic sign recognition and person detection. Stay tuned for more in our upcoming series! 👉 Read the full blog post here: https://lnkd.in/eztqKQ_Q #MachineLearning #Safety #AI #autonomousvehicles

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Safety, Compliance and Agile – Exciting Topic discussion of learnings from the July 9th Automotive Day in Wiesbaden!      I had the opportunity to talk with ✔Peter Pedross about "Functional Safety in SAFe". Peter discusses highlights and key takeaways from the conference. Having spent many years working in the System Safety area, I was excited and intrigued to learn about the latest input on functional safety agile practices.   #PEDCO #Realizeagilellc #AppliedSAFe    Watch our quick video with conversation highlights....   https://lnkd.in/gXetbRCR

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One of the speakers at AWS Community Day DACH (unfortunately, I can't recall his name) mentioned generative AI and AI assistants in his presentation. He highlighted a specific benchmarking method - using a list of open issues - to measure the success of various LLM (Large Language Model) models. Currently, the top-performing models can resolve about 20% of these issues. While some might see this as a failure, the speaker offered an interesting perspective: if we view AI as an assistant rather than a replacement, this could actually be considered a success. Here’s why. If AI helps someone complete tasks in 4 days instead of 5, it effectively frees up one day per week. This can boost efficiency and productivity, potentially allowing for more work to be done in same time. Or same work in less time, which would allow people to spend some time investing in new skills, exploring new ideas or doing something else beneficial for the company. A post by Astasia Myers on X (formerly Twitter) mentioned that managers are seeing engineers finish their tasks faster by using tools like GitHub Copilot. However, this extra time isn’t always used for committing to additional work. This raises an important question: what’s the ROI on these extra expenses? For each investment we should have a ROI. Copilot subscription fee is additional expense which needs to be justified. It's use should result in measurable benefits - whether that’s delivering more features, driving more revenue, or even creating a less stressful and more pleasant work environment. Less stressful and more pleasant work environment. Reducing stress and improving work-life balance deserves its own separate discussion. As an engineering manager, this is something that is worth exploring further in the team. Managers should be responsible for creating such an environment regardless of AI. 😎 #GenerativeAI #AIAssistants #LLM #Efficiency #Productivity #GitHubCopilot #AIinTech #ROI #WorkLifeBalance #StressReduction #EngineeringManagement #AIforBusiness #Innovation #Automation #TechLeadership #AWSCommunity #AIinEngineering Image by vectorjuice on Freepik

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 📢Time to mark your calendars! 📅 September 24-25, 2024 in Magdeburg, Germany 👉 #AutomationML has taken a long journey towards productivity and implementation. 🧑‍🤝‍🧑Update yourself on technical status, use cases, and join the community for networking and insights! ℹ️ #AutomationML (Automation Markup Language) is a standardized, XML-based data exchange format specifically designed for the automation industry and aims to streamline the engineering process, improve data consistency and integrity, and enhance collaboration across different engineering disciplines and tools. It is #vendorneutral and #interopable.

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Yet another webinar from VECTOR India. Do join us in understanding the world of ADAS. A webinar on Accelerating ADAS Development -High Bandwidth Data Logging and Analysis. #ADAS #data #automotive

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#TECHNOLOGY | What does systems engineering mean in the ADAS/AD field at Bertrandt? We take a holistic view of systems and their interactions and minimize risks through transparency and planning accuracy for the successful development of complex overall systems. We exploit the full potential of the principles of systems engineering in order to successfully master the high level of complexity in the ADAS/AD sector. After all, the success of this development depends largely on how it is designed and validated. Further information can be found here: https://lnkd.in/emM3q3SZ #systemsengineering #ADAS #AD

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How Software-Defined Vehicles are Revolutionizing 🚗 the Automotive Industry The future of the automobile is no longer just in the engine, but in the code. Software-defined vehicles (SDVs) use advanced connectivity technologies to make vehicles more flexible and powerful. But what does that mean in concrete terms? 🔧 Upgrades Over-the-Air (OTA): Thanks to SDVs, vehicles can be updated without a visit to the workshop. New functions, security updates or performance upgrades are simply installed "over-the-air" – so the car always stays up to date. 📡 Real-time data processing: With advanced connectivity solutions, huge amounts of data are processed in real time. This enables more precise control of driver assistance systems (ADAS) and increases safety on the road. 💡 More efficiency through adaptive systems: SDVs are able to react dynamically to different situations, whether through traffic management, autonomous driving or adaptation to the environment. Our expertise in embedded software, connectivity, and ADAS helps take SDVs to the next level. Ready for the future of driving? 🚀 Let's talk about how we can support your projects! #SoftwareDefinedVehicle #Connectivity #ADAS #Innovation #Automotive

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NEW STPA IMPLEMENTATION IN SAFETBOX FOR COMMERCIAL AND ACADEMIC USAGE Dear system safety analysis enthusiasts, in recent years, the systems-theoretic process analysis (STPA) method has evolved towards a meaningful addition besides inductive and deductive analyses. It has its strengths in finding problems stemming from interactions between system elements and the operational environment. STPA found its way as a recommended technique in standards like SOTIF, too. We recently released an integrated implementation of STPA modeling support in safeTbox, the Fraunhofer IESE tool for model-based systems and safety engineering, in which we have realized state-of-the-art safety modeling and analysis methods since more than 15 years! 🔍 Why safeTbox? - Maintained Implementation: Unlike other tools, safeTbox offers a robust and maintained implementation. - Seamless Integration: Integrate effortlessly with model-based systems and safety engineering in Enterprise Architect. - Comprehensive Connectivity: Link STPA artifacts with GSN arguments, FTA, HARA and architectural models to ensure traceability 🔗 Dive deeper into how safeTbox can streamline and enhance your STPA process in our latest blog post: https://lnkd.in/eK85VT34 💡 Curious about the tool's features or commercial licensing models? We're happy to give you a demo! Drop me a direct message here or use our official contact channels on the website. PS: We're planning to advance the STPA realization to best support practitioners. If you have interesting ideas about features missing in existing STPA tools, feel free to share them. We'll likely incorporate them into safeTbox in our future research projects :-) #SystemSafety #STPA #RiskManagement #SafetyEngineering #SafetyAnalysis #FTA #GSN #safeTbox #AutonomousVehicles

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Tomorrow marks a significant milestone as Vitesco Technologies officially merges with Schaeffler. Together, we are combining the strengths of two leading Tier 1 automotive suppliers to drive the future of mobility. Change is not always easy, but sometimes it is necessary to create something even better—for our industry, for our customers, and society. As we turn the page and start this exciting new chapter with Schaeffler, our combined expertise, resources, and passion will enable us to pioneer motion. Together, we are more equipped than ever to revolutionize how the world moves—driven by purpose, powered by collaboration, and focused on sustainable progress. As I sign off from Vitesco Technologies and sign into Schaeffler, I look forward to the limitless possibilities this new chapter brings. Together, we will drive the future of mobility! #FutureOfMobility #AutomotiveInnovation #Electrification #Sustainability #NewBeginnings #WePioneerMotion #StrongerTogether #WeAreSchaeffler

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#WEAREBERTRANDT | In the years 2004 to 2013, Bertrandt's perseverance came to light. Despite the drastic economic crisis in this decade, both the number of employees and the revenues increased considerably and Bertrandt shares were included in the SDAX. The founding of Bertrandt Services GmbH was also an important step towards the electrical industry, energy, mechanical and plant engineering and medical technology sectors. Bertrandt has continued to grow in the last ten years since 2014. New branches have been added in China, Romania, France and Morocco. The ground-breaking ceremony for the high-voltage battery testing center in Ehningen in 2018 was a significant milestone in the e-mobility environment. 2019 marked an absolute highlight in Bertrandt's history: HARRI, an unprecedented showcase for autonomous, electrified and connected driving, was presented in Bonn and the following year in Las Vegas. Would you like to learn more about Bertrandt's history from 2014 to 2024? Then find out about our milestones here: https://lnkd.in/duFAhbgR

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Join Björn Morgenthaler, Tech Lead, and Miguel Garrido, Software Developer of the "Test Engineering & Validation" team at comlet Verteilte Systeme GmbH, as they delve into the complexities of end-to-end testing for modern embedded systems. Learn how Squish GUI Test Automation for Qt Quality Assurance, combined with keyword-driven testing following ISO29119-5 standards, simplifies test environments by consolidating test adaptation layers. Explore strategies to simultaneously address testing challenges across various platforms and APIs, streamlining processes for developers and stakeholders. Discover how to optimize your testing approach and enhance quality assurance in software and product development: https://lnkd.in/dZRudFDv #TestAutomation #SoftwareTesting #QATester #QualityAssurance #UI

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Join Qt Quality Assurance on May 7th for our webinar, "Dealing with Undecidability in Static Code Analysis" with Dr. Sebastian Krings. 🟣 This session will delve into "decidable" and "undecidable" rules, exploring how static code analysis tools navigate this complexity. 🟣 We will discuss the impact of undecidability on developers and strategies to minimize false positives and false negatives. 🟣 We will also examine ways to enhance efficiency in reviewing custom coding guidelines and how tool vendors are addressing the hurdles of undecidability. The webinar will conclude with a Q&A session, which will allow attendees to engage with our expert and ask any burning questions. Register here: https://lnkd.in/e6uisquY #Security #Compliance #SoftwareTesting #QAAutomation #CodeReview

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BLOG ALERT: How GenAI methods can boost the efficiency of safety assurance processes! At Fraunhofer IESE, our core mission has always been to empower software and system engineering processes with state-of-the-art engineering and analysis methods. In the context of new technological developments like GenAI, of course, we're asking ourselves how to meaningfully add them to the engineer's toolset. Consequentially, we’re building on our rich methodological safety engineering competencies to pioneer the integration of Generative AI methods into crucial processes like Hazard and Risk Assessment (HARA) for autonomous driving systems, considering the unique constraints of safety-critical system development. Our innovative tool, LASAR (LLM-Augmented Situation Space Analysis for Risk), empowers safety engineers by enhancing efficiency and precision in the face of complex environments and standards like ISO 26262. 🔍 Why is this important? HARA is vital for identifying and mitigating risks in automotive systems, but it’s resource-intensive and demands expert insight. Generative AI, particularly Large Language Models (LLMs), can assist by offering detailed scenario analyses, saving time and boosting quality. Human-AI collaboration ensures thorough oversight, combining the strengths of both for optimal results. ✨ Key benefits of LASAR: 1. Increased efficiency: Streamlines HARA by automating preliminary assessments, saving valuable engineering time. 2. Higher quality: Engineers gain confidence from detailed, AI-driven situation space exploration and real-world examples. 3. Compliance-ready: Helps ensure adherence to industry standards like ISO 26262 or ISO 21448 (SOTIF) Blog Article: https://lnkd.in/epY66nYk 💡 Partner with us to integrate AI-driven safety engineering into your processes and experience the future of autonomous driving safety firsthand! 📩 Ready to learn more? Contact us to explore how LASAR can transform your safety engineering workflows. #AI #SafetyEngineering #AutonomousDriving #GenerativeAI #AutomotiveSafety #RiskAssessment #HARA

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