Amine OUAZIZ’s Post

🚀 AI Meets Model-Based Development: A Game-Changer for the Automotive Industry 🚗💡 In the fast-evolving world of automotive engineering, Artificial Intelligence (AI) is transforming Model-Based Development (MBD), paving the way for smarter, safer, and more efficient vehicles. From autonomous driving to predictive maintenance, the integration of AI into MBD is reshaping how we design, test, and deploy next-gen automotive systems. Here’s how AI is making waves in the automotive sector: 1️⃣ Enhanced Autonomous Driving: AI-driven algorithms are being integrated into Simulink models for real-time decision-making, making vehicles smarter in dynamic traffic scenarios. 🚦 2️⃣ Predictive Maintenance: Using AI for predictive analytics allows us to model and anticipate vehicle health, reducing downtime and improving reliability. 🔧 3️⃣ Optimization of Control Systems: AI enhances vehicle dynamics and energy management systems, optimizing performance in electric and hybrid vehicles. ⚡ 4️⃣ Faster Validation & Testing: AI accelerates the verification and validation process, allowing engineers to simulate thousands of real-world scenarios and edge cases in minutes. ⏱️ The future of automotive design is here – where AI-powered MBD creates safer roads, smarter cars, and a greener planet. 🌍 Share your views in the comment below #ArtificialIntelligence #ModelBasedDevelopment #AutomotiveInnovation #AIinAutomotive #AutonomousVehicles #ElectricVehicles #EngineeringTransformation #MATLAB #Simulink #DigitalTransformation

I'm excited ✨ to announce my new focus in the realm of 🚗 autonomous driving technology. With a passion for precision and innovation, I now specialize in designing and implementing immersive 🚦road scenarios in MATLAB, complete with dynamic actors, radar, and camera systems. What I Do: Road Design: Crafting realistic road layouts for comprehensive testing environments. Dynamic Actors: Programming vehicle behaviors to mimic real-world driving. Sensor Integration: Equipping vehicles with advanced radar and camera systems. Simulation & Visualization: Running real-time simulations to visualize and analyze scenarios. Data Capture: Transforming raw sensor data into actionable insights. Achievements: Designed complex road scenarios for high-fidelity autonomous vehicle testing. Successfully integrated and calibrated radar and camera systems for precise data capture. Developed automated scripts to streamline and enhance simulation processes. Goals: Driven to innovate and refine autonomous driving technologies through state-of-the-art simulations. Let’s connect to explore collaborations and push the boundaries of what’s possible in the automotive world.

Aptiv Innovates Autonomous Driving with MATLAB! Explore how Aptiv is pushing the boundaries of autonomous driving using virtual scenarios powered by MATLAB. Discover how Aptiv leveraged RoadRunner to create digital twin scenarios for ADAS validation using ASAM Open Simulation Interface standards. This user story delves into the innovative approaches that enhance safety and efficiency in autonomous vehicle development. 🚗 👉 Read the Story: https://spr.ly/6043QABVH Drive the future of mobility with cutting-edge technology! #AutonomousDriving #MATLAB #Innovation #VirtualScenarios #DigitalTwin #MathWorks

We’re pleased to officially introduce VidGen-1, our state-of-the-art generative AI video model designed for high-end ADAS through L4 autonomous driving development and validation. Trained on thousands of hours of video, VidGen-1 generates a diversity of driving scenarios covering different geographies, landscapes, camera types, and vehicle perspectives. VidGen-1 is based on our innovations in generative DNN architectures and Deep Teaching technology, enabling it to generate highly realistic driving video, which has significance for both prediction and simulation tasks. When leveraged for generative simulation, VidGen-1 can effectively bridge the "sim-to-real" gap, and the technology behind it is adaptable to real-time AI-based intent prediction and path planning software across the AV stack. Our video generation approach is furthermore versatile, in that it can be applied to autonomous driving, robotics, and any other industry that also relies on video data. Learn more about VidGen-1 here: https://lnkd.in/gwe_shF9 #autonomousdriving #selfdrivingcars #artificialintelligence #generativeai #adas #computervision #helmai

Machine learning is revolutionizing the automobile industry in remarkable ways. By harnessing the power of data and algorithms, automakers are enhancing vehicle performance, safety, and user experience. Here's how: 1. Predictive Maintenance 2. Autonomous Driving 3. Improved Manufacturing 4. Enhanced User Experience 5. Demand Forecasting 6. Faster Research Lets connect if interested in getting AI products. #AI #machinelearning #Automobile

Attendees will learn: -Safety by validation: the necessity of accurate synthetic data -End-to-end real-time physics-based approach for accurate synthetic data generation -Bridging the gap between Tier 1s and OEMs by enhanced camera sensor simulation -Highlights of challenging edge cases for camera perception testing and simulation

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

If you're developing an autonomous vehicle, this is for you. Acquiring real-life data for dangerous (critical) driving situations is challenging. Synthetic data can fill this gap. Learn more in this educational webinar, on May the 28th:

Discover how software is transforming the automotive industry, from optimizing engine performance to revolutionizing the driving experience.  Dive into the world of advanced tech, personalized user experiences, and the road ahead with connected cars and autonomous vehicles.    Read the full article and see how software is redefining the way we drive.  https://lnkd.in/gfmRHsVa #Inivos #ICT #AutomotiveIndustry #StaffAugmentation #Softwaretalent #AutomotiveInnovation #SoftwareRevolution #FutureOfMobility #embeddedsoftware #electronics #C++ #Java #Python

Are you struggling to understand the complexities of driverless vehicle? Are you finding it challenging to design a compliant autonomous driving system? Are you finding it difficult to efficiently plan and manage your autonomous vehicle project? This course is here to eliminate those concerns. What You’ll Learn: - Advanced data analysis and AI/ML, Radar antenna design and implementation, ADAS, Advanced simulation to assist DV development. - Path Planning and trajectory control with visual cone detection, Getting started with ROS. - Real-time simulation using Typhoon HIL. - Simultaneous Localization and Mapping (SLAM) and Sensor Fusion. - Creation of Real-world environment in simulations. Understanding modern time autonomous technology, cybersecurity, functional safety, deep learning and computer vision algorithm. - Experience of FS Teams. - Various available software for driverless. Take the course: https://lnkd.in/deJu3tKD #formulastudentdriverless #driverlessvehicles #udemycourse #formulastudent