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Mercedes-Benz has taken a significant step in advancing the future of automotive technology by funding research into generative AI and driverless cars at Stanford School of Engineering. The funding provided by Mercedes-Benz is specifically allocated for 15 graduate students at Stanford, allowing them to engage in hands-on, real-world research in the field of generative AI and its applications within the automotive industry. This initiative includes collaboration with the University of California San Diego, where 3D imaging research is being conducted to leverage the cutting-edge resources available at the Autonomous Vehicle Laboratory. The goal is to explore the potential of AI in enhancing the in-car passenger experience and furthering the development of autonomous driving technologies. #electricalengineering #electronics #embedded #embeddedsystems #electrical #computerchips Follow us on LinkedIn to get daily news: HardwareBee - Electronic News and Vendor Directory

Open to the public at WMU...How to Start an Automotive Start-up: Lessons Learned from Being in Business Three Months. https://lnkd.in/d9qw9A2c. Join us on WMU's Parkview Campus for a presentation with Dr. Zachary D. Asher and Bryan Hagenbarth of Revision Autonomy. Wednesday, Nov. 8, at 4 p.m. Parkview Room, D-132 Floyd Hall (College of Engineering) Have you ever worked at a company and been shocked to find that the products they sell are boring or useless? Or maybe the company suffers from bad management with poor promotion procedures? How on earth could you ever be promoted to CEO at this company to make some meaningful change? A solution: start your own company, design your own products, and create your own company policies. In this seminar, we will share some of our personal motivations for starting a company, including lessons learned from the trials and tribulations (so far) of starting a business. And of course, we will be happy to answer any questions from attendees. Dr. Zach Asher, associate professor in the Department of Mechanical and Aerospace Engineering, is the director of the WMU Energy Efficient and Autonomous Vehicles Lab and co-founder and business & technology director at Revision Autonomy. Bryan Hagenbarth is a Medallion Scholar and student in the WMU's Haworth College of Business, majoring in supply chain management. He is a co-founder and business executive director at Revision Autonomy. Website: https://lnkd.in/d6PzYCGD. REVISION AUTONOMY SECURES SBIR GRANT FOR AUTONOMOUS VEHICLE PRODUCT DEVELOPMENT [Kalamazoo, August 2023] – Revision Autonomy, the pioneering software company dedicated to advancing autonomous driving technology, is excited to announce the successful acquisition of a Small Business Innovation Research (SBIR) grant for the development of cutting-edge autonomous vehicle products. The SBIR grant, a prestigious accolade in the field of innovation, reflects Revision Autonomy's commitment to pushing the boundaries of autonomous vehicle technology. With this grant, Revision Autonomy aims to accelerate its product development initiatives, particularly in the realm of autonomous driving in adverse weather conditions. #startup #autonomousvehicles #supplychain #engineering

Unveiling My Graduation Project - A Self-Driving Car! 🚗 Dear LinkedIn community, I'm thrilled to share a major milestone in my academic journey! 🎓 Today, I'm unveiling my graduation project, a culmination of months of hard work and dedication - a fully functional self-driving car! In collaboration with Higher Technological Institute/Mechatronics Engineering, I had the incredible opportunity to lead a talented team in developing a cutting-edge self-driving car. This project represents the intersection of my passion for Artificial intelligence, computer vision, and Machine Learning and my commitment to shaping the future of transportation. Our self-driving car boasts a range of innovative features, including: Advanced computer vision algorithms for real-time object detection. Machine learning models for decision-making in complex traffic scenarios. Robust sensor integration, ensuring 360-degree awareness of the vehicle's surroundings. Object and sign detections. This project has been a journey of challenges, triumphs, and countless learning opportunities. From designing algorithms to extensive testing on simulators and real-world scenarios, every step has contributed to the development of a reliable autonomous vehicle. I want to express my gratitude to my amazing team Mohamed Khaled, Mohamed Abobakr, Hamza Hassan, Ziad Adham, mentors, and professors at Higher Technological Institute/Mechatronics Engineering. Their guidance and support have been invaluable throughout this undertaking. Beyond the academic realm, I am excited about the potential impact of self-driving technology on the future of transportation. It's not just a project; it's a step towards safer, more efficient, and accessible mobility solutions. I've prepared a brief demo video showcasing the self-driving car in action. I'm eager to connect with professionals who share an interest in autonomous vehicles, AI, and the future of mobility. Let's connect and explore potential collaborations or share insights on the exciting developments in this field! Thank you for being part of my journey. I look forward to the continued growth and innovation ahead! Best regards, Amr Sayed Ismail Ahmed #SelfDrivingCar #GraduationProject #AI #Innovation #FutureOfMobility #computerVision #MachineLearning #SelfDrivingCars #ComputerVision #AI #Innovation #GitHub #Teamwork #Gratitude #graduation #graduationproject #graduation2024 #raspberrypi #hti #machinelearningengineer #deeplearningalgorithms #iti #nti #imt

Imagine a world where you can travel anywhere without worrying about traffic jams and parking hassles. A world where AI-powered vehicles take you to your destination safely, efficiently, and comfortably. A world where software-defined #vehicles are the norm, not the exception. Sounds too good to be true? Think again.    This is the future of transportation that some of the world’s leading experts in #AI, machine learning, and software are working on right now. And they are ready to share their insights, innovations, challenges (and opportunities!) with you at AVCC2023: Driving the Future of Software-Defined Vehicles, a conference held in Cambridge, UK on September 26-28. Autonomous Vehicle Computing Consortium, Inc. (AVCC) is the global automated and autonomous vehicle industry consortium that brings together researchers, academics, developers, and industry leaders to advance the state-of-the-art in software-defined vehicles. I had the privilege of speaking with them about their upcoming event and they offered me a special deal to share with you. For a limited time, you can register to attend AVCC2023 for FREE (virtual) and get access to exclusive workshops, presentations, and networking opportunities with some of the brightest minds in the field. Don’t miss this chance to learn how AI, machine learning, and software are transforming autonomous vehicle technology and shaping the future of transportation. Join directly here https://lnkd.in/ee8UaHzk   Please share with your colleagues/friends who might be interested in the future of transportation. #autonomousvehicle #autonomous #cars Bosch DENSO Infineon Technologies Siemens Arriver KPIT SEI Automotive Europe GmbH RTI Arm Autonomous Vehicle Computing Consortium, Inc. (AVCC)

Emerging technologies such as artificial intelligence (#AI), connected and autonomous vehicles (#CAV), and electrification motivate the need for a new #EE architecture that can handle the complexity of these systems. SDVs are key enablers for these technologies in the automotive industry. However, #SDVs come with challenges including legacy #software adaptation and high-performance #computer (HPC) testing. Join our Manager of Connected & Automated Mobility, Hamzeh Alzubi, Ph.D., on April 30th to discuss how FEV can help with overcoming these two specific challenges by utilizing MathWorks Model-Based Design tools and FEV’s Gateway. Hear about two use cases that highlight the effectiveness of FEV’s approach towards a rapid realization of SDV software development and testing. Register here to be a part of the discussion → https://lnkd.in/g45XTsgM Feel evolution and drive innovation with us → https://lnkd.in/gjvfZj2P

Title: The Gen AI Impact on Automotive Performance Engineering As a Performance Engineer myself working in the Automotive Industry for a large OEM, this is a topic close to heart. The automotive industry is on the brink of a revolutionary shift with the emergence of Generative AI (Gen AI). Here are my thoughts at how Gen AI will reshape automotive performance engineering: 1. Data-Driven Design: Gen AI enables personalized vehicle design based on vast data analysis, optimizing everything from suspension to aerodynamics for individual preferences. This data-centric approach will revolutionize automotive performance engineering by enabling engineers to design vehicles tailored to the specific needs and preferences of consumers. 2. Predictive Maintenance: Consumer is key and post sale services are as important as concept delevopment. AI-powered systems anticipate maintenance needs, minimizing downtime and maximizing vehicle reliability. 3. Autonomous Optimization: The integration of AI into autonomous vehicles will fundamentally transform automotive performance engineering. Gen AI algorithms will continuously learn from real-world driving scenarios, fine-tuning vehicle dynamics and control systems to optimize safety and efficiency. From adaptive cruise control to autonomous emergency braking, AI-driven features will redefine the capabilities of next-generation vehicles, setting new standards for performance and reliability. 4. Virtual Prototyping: Advanced simulation tools driven by AI accelerate design iterations, reducing time-to-market and costs. Lesser time aka more profits. 5. Human-Machine Collaboration: While AI will play a central role in shaping the future of automotive performance engineering, the importance of human expertise cannot be overstated. Gen AI will foster greater collaboration between human engineers and intelligent machines, leveraging the unique strengths of both to push the boundaries of innovation. By combining human ingenuity with AI-driven insights, automotive performance engineering will reach new heights of excellence. In summary, Gen AI will revolutionize automotive performance engineering, ushering in a new era of customized, efficient, and safe vehicles. This wave is coming sooner than ever and rather than fear it, let’s embrace this and make our modes of transportation better than ever. #GenAI #automotiveengineering #automotive #electrification #ArtificialIntelligence #AI #EV #BEV

Tesla's Patent Revolutionizes Vehicle User Interface for Machine Learning Analysis #AI #artificialintelligence #Automotive #autonomousvehicles #graphicalrepresentations #llm #machinelearning #Machinelearningmodels #Patent #Tesla #userexperience #userinterface #vehicles

Revolutionizing Autonomous Driving: My Self-Driving Car Project 🚗🤖 Excited to share my latest project: a fully functional self-driving car, developed as part of my journey in Engineering. This project showcases my skills in machine learning, sensor integration, and demonstrates my passion for innovation in the automotive industry. Presented it in the National Conference of Emerging Trends in Engineering Science and Technology and paper publishing is in progress. In this video, you'll see the car in action on a custom-built test track, highlighting its advanced navigation capabilities and robust engineering. Every aspect of this project, from design to implementation, reflects my commitment to excellence and my drive to push the boundaries of what's possible with autonomous technology. Special thanks to my Teammates P KIRTHANA . and Uma Naik for their dedication and collaboration for bringing the Self-Driving Car project to life. Thank you for watching, and please feel free to reach out to discuss potential opportunities or collaborations! If you're in the automotive or embedded systems industries, let's connect! I'm eager to bring my expertise and enthusiasm to a forward-thinking team. Also I am looking for job opportunities in Automotive and Embedded industries. #OpenToWork #Embedded #Automotive #jobOpportunities #Fresher #AutonomousDriving #SelfDrivingCar #AutomotiveInnovation #EmbeddedSystems #MachineLearning #ArtificialIntelligence #Robotics #TechInnovation #Engineering #TechCareers #CareerOpportunities #JobSearch #Innovation #FutureOfTransport #AutonomousVehicles #SmartTechnology #EngineeringJobs #TechTalent #ConnectedCars #mobility #vehicles #Cars #future #FutureOfTransportation #DriverlessCars #Technology #electronics #Embedded #NationalConference #Automotive

We are witnessing three major transformations in the automotive industry simultaneously 🔀 , which include the move towards: 1️⃣ Software-defined vehicles, 2️⃣ Electric vehicles, 3️⃣ Autonomous vehicles. These transformations require significant effort from all industry players, with software being at the center of all these changes. Success though isn't guaranteed. In fact, there are more failure stories than success stories in the scaling of automotive software. ↪️ Building the team and and the machine is job number one! At Hashlist, we are dedicated to advancing the entire automotive industry through on-demand software experts across all automotive software technologies. Our aim is to achieve this by gradually building the world's largest ecosystem for hiring automotive software experts already in and looking to enter the industry 🚙 🌐 #automotiveindustry #mobility #softwaredefinedvehicle #innovation #sdv