MATLAB Unboxed: A Journey with Marco

In today’s episode, we’re diving into Visual SLAM — that’s Simultaneous Localization and Mapping — using an RGB-D camera in MATLAB.

In this episode, we’re walking through the process of depth estimation from stereo video using MATLAB and the Computer Vision Toolbox.

Join me, Marco Roggero, in this episode of MATLABUnboxed: Yolox for Embedded Vision, where we explore how YOLOX networks arerevolutionizing industrial embedded vision. I’ll walk you throughhigh-precision PCB defect detection, innovative techniques for small objectrecognition, and the streamlined deployment of these models using MATLAB’sunified workflow. Plus, get an exclusive preview of my upcoming presentation atthe Embedded World Conference in Nürnberg on March 12th, 2025.

In this episode of "MATLABUnboxed," host Marco Roggero delves into the world of Unmanned AerialVehicles (UAVs). He explains what UAVs are, their significance across variousindustries, and how MATLAB and Simulink are essential tools for theirdevelopment and electrification. Marco discusses the capabilities of thesetools in UAV platform development, perception and localization, motion planningand control, and simulation-based testing. Join Marco as he explores thecutting-edge technology behind UAVs and the role of MATLAB and Simulink inadvancing autonomous flight applications.

🎅 Hello everyone, and welcome to Day 24, the final day of my MATLAB and Simulink Advent Calendar! 🎅 My name is Claus… Santa Claus! Tomorrow is Christmas and I'm excited to share with you the Simulink OnRamp, where you can learn the basics of creating, editing, and simulating models in Simulink. With the Simulink OnRamp, you can:Use block diagrams to represent real-world systemsSimulate components and algorithms to understand system behaviorFollow the link to explore this fantastic opportunity to learn the essentials of Simulink. https://lnkd.in/exxibES9 Let's continue to spread the joy of learning and innovation as we approach the holiday season! 🎁 hashtag#MATLAB hashtag#Simulink hashtag#mathworks hashtag#SantaClaus hashtag#Christmas Wishing you all a day filled with excitement and festive cheer! Celebrate this Christmas doing whatever you feel is good for you. Please do it! Santa Claus is asking you to do that! 🎄

🎁 Hello everyone, and welcome to Day 23 of my MATLAB and Simulink Advent Calendar! 🎅 Today, we're delving into the fascinating world of "AI for Engineers: Building an AI System." Follow this lick to watch the video: https://lnkd.in/eVfhhfMY Artificial intelligence, as many of you may know, is a simulation of intelligent human behavior. It's designed to perceive its environment, make decisions, and take action. Today, we'll get an overview of AI for engineers and discover the ways in which artificial intelligence fits into an engineering workflow. We'll explore the essential steps for building an AI system, including data preparation, modeling, system design, and deployment. It's an exciting journey that allows engineers to leverage the power of AI to make informed decisions and automate complex processes. Join me as we uncover the incredible potential of AI in engineering. Let's continue to spread the joy of learning and innovation this holiday season! hashtag#AI hashtag#MATLAB hashtag#Simulink hashtag#mathworks hashtag#Christmas Wishing you all a day filled with inspiration and festive cheer!

🌟 Hello everyone, and welcome to Day 22 of my MATLAB and Simulink Advent Calendar! 🎄 Today, I'm excited to share the incredible capabilities of the UAV Toolbox, which equips you with tools and reference applications for designing, simulating, testing, and deploying unmanned aerial vehicle (UAV) and drone applications. With the UAV Toolbox, you can: Design autonomous flight algorithms, UAV missions, and flight controllersUtilize the Flight Log Analyzer app to interactively analyze 3D flight paths, telemetry information, and sensor readings from common flight log formatsFollow the link to explore the powerful tools and resources available for UAV and drone applications with MATLAB and Simulink. https://lnkd.in/eZnHer3u Let's continue to spread the joy of innovation and learning this holiday season! hashtag#MATLAB hashtag#Simulink hashtag#UAV hashtag#AdventCalendar hashtag#Christmas hashtag#mathworks Wishing you all a day filled with inspiration and festive cheer!

Hey, what's up? Welcome to Day 21 of my Advent Calendar!   As we eagerly await Christmas, I'm excited to share something special with you every day related to MATLAB and Simulink   Ever heard of a Kalman filter? It's an incredible algorithm that helps autonomous systems like self-driving cars and drones navigate with ease and accuracy.  By using mathematical calculations, it estimates a system's state and predicts its future movements, filtering out unreliable sensor data for informed decisions.  The best part? Implementing a Kalman filter in MATLAB is a breeze! With the Sensor Fusion and Tracking Toolbox, you can easily set up a Kalman filter for your own autonomous system.  Check out this example for Kalman filter of sensor fusion and see for yourself how simple and powerful this tool can be.   Let's continue spreading the joy of learning and innovation this holiday season!   Wishing you all a day filled with inspiration and festive cheer!

🎄 Welcome to Day 20 of the MATLAB Advent Calendar! 🎅 As we eagerly await Christmas, I'm excited to highlight a fascinating application of MATLAB and Simulink—the modeling and control of Mars Rovers. 🚀 These robotic explorers are pivotal in advancing our understanding of the Red Planet, paving the way for future human exploration. 🌟 MathWorks provides comprehensive tools to simulate Mars Rover operations, enabling engineers to design and test rover models in realistic Martian terrains. 🛠️ By utilizing Simscape Multibody and Robotics System Toolbox, you can create a digital twin of a Mars Rover to perform tasks such as sample retrieval. This involves path planning, navigation over uneven surfaces, and manipulator control for sample collection. 🪐 🎁 Key features include: 🎄 Grid Surface Modeling: Simulate the rigid Martian terrain to test rover mobility. 🎅 Point Cloud and Spatial Contact Forces: Model interactions between rover wheels and the terrain for accurate mobility analysis. 🌟 Pure Pursuit Path Tracking: Implement algorithms for precise navigation along a desired path. 🎁 Kinematics Solver and Trajectory Planning: Plan and control the rover's manipulator for tasks like sample collection. Understanding and simulating these aspects are crucial for mission success, as they ensure the rover can navigate the challenging Martian environment and perform scientific tasks effectively. 🚀 🎀 For a hands-on example, explore the Mars Rover Model available on MATLAB Central File Exchange. This model demonstrates how to navigate uneven terrain, retrieve samples, and utilize inverse kinematic analysis for arm control. https://www.mathworks.com/help/sm/ug/mars_rover.html 🎇 Why is this topic important? Mars Rovers are at the forefront of space exploration, providing invaluable data about Mars's geology and potential for life. Simulating their operations with MATLAB and Simulink accelerates development, reduces risks, and enhances mission success, bringing us closer to unraveling the mysteries of Mars. 🌠 Stay tuned as we continue to unwrap more exciting features and applications of MATLAB and Simulink this holiday season. 🎅 Happy holidays! 🎄 #MathWorks #MATLAB #Simulink #christmas #advent #MarsRover #SpaceExploration #Robotics #DigitalTwin #Simscape #RoboticsSystemToolbox 🎁

🎄 Welcome to Day 19 of the MATLAB Advent Calendar! 🎅 As we approach Christmas, I’m excited to showcase another innovative application of MATLAB and Simulink—Autonomous Surface Vessels (ASVs). These vessels are revolutionizing industries such as maritime transport, environmental monitoring, and offshore operations. Today, let’s explore how MATLAB and Simulink empower engineers to design, simulate, and test these sophisticated systems. ASVs face unique challenges, from navigating through high-traffic areas to integrating multiple functional components seamlessly. To address these, MathWorks offers a robust platform for developing a digital twin—an integrated environment combining the ASV model, autonomy systems, and operational scenarios. This digital twin enables efficient testing and validation long before deployment. 🌟 Key components include the vessel platform with sensors like cameras, LiDAR, IMU, and GPS, as well as propulsion systems modeled using Simulink and Simscape. These tools allow engineers to simulate dynamics such as hydrodynamics, cross-flows, and payload effects with high fidelity. 🎁 🎇 Guidance, navigation, and control are further supported by features like sensor fusion algorithms, automated parameter tuning, and behavior planning using Stateflow. These capabilities ensure the ASV can navigate safely while adhering to maritime rules, such as COLREGs. But that’s not all. The Cuboid simulation environment and integration with platforms like Unity and Unreal Engine offer rich, interactive scenarios for testing collision avoidance, risk assessment, and situational awareness. From simulating urban waterways to detecting objects using deep learning, these tools streamline the development of ASVs, ensuring they operate safely and efficiently in complex environments. 🎅 🎁 Why is this topic important? Autonomous Surface Vessels are transforming maritime industries by increasing safety, reducing human risk, and improving operational efficiency. They’re a vital step toward sustainable and intelligent ocean operations. 🎀 Explore more about ASV design and simulation on MATLAB Central, including contributions like Professor Thor Fossen’s Marine System Simulator. For deeper insights, don’t miss our upcoming ASV webinar on June 30th! 🎄 https://www.mathworks.com/help/sm/ug/mars_rover.html Let’s continue unwrapping the potential of MATLAB and Simulink this holiday season. Happy holidays! ❄️ #MathWorks #MATLAB #Simulink #christmas #advent #ASV #AutonomousVessels #DigitalTwin #SensorFusion #MaritimeInnovation