How to capture and process: a multisensor application with RTMaps скачать в хорошем качестве

How to capture and process: a multisensor application with RTMaps

🚀 Welcome to our new tutorial on mastering multisensor applications with RTMaps! In this video, you will learn how to seamlessly capture, synchronize, and process data from multiple sensors and image processing algorithms with RTMaps middleware in just 5 minutes! With RTMaps is has been never easier and faster to design a complex real-time system. Dive into the world of Real-Time Multisensor Applications with ease as we guide you step-by-step and develop your projects in robotics, Advanced Driver Assistance Systems (ADAS) or Highly Automated Driving or other innovative domains. 🔧 In this video we are using: • Velodyne PUCK (VLP-16) Lidar • SBG Ellipse-D INS / IMU • Logitech C920 webcam • Exwayz SLAM algorithm • Pytorch / Python Object Detection algorithm • PC on Windows 10 with RTMaps 4.10.4 ⚡ Check the list of supported technologies by RTMaps: https://intempora.com/products/rtmaps... 💡 Whether you're a seasoned developer or a newcomer this tutorial ensures a good learning lesson. By the end of this video tutorial you will understand how to master RTMaps and the acquisition of heterogeneous sensor data streams! 👍 If you found this video helpful, don't forget to give it a thumbs up and Subscribe now for more cutting-edge tutorials and updates. If you have any questions or topics you would like us to cover in future videos, please leave a comment below! -------------------------------------------------------------------------- ⏱️📑Chapters: 0:00 Introduction 0:08 Sensors setup 0:20 Start RTMaps Studio and load the previous Velodyne diagram 0:48 Open then Copy / Paste the Exwayz SLAM algorithm diagram 1:14 Connect the two diagrams together 1:55 Open then Copy / Paste the previous SBG IMU diagram *️⃣ Note: You may as well use macro-components to import directly sub diagrams. Check the Macro components chapter video. It can be particularly interesting when your applications involved hundreds of components and various functionalities. 2:30 Run the application with the Lidar, the IMU and the SLAM algorithm 3:00 Add the last sensor by adding the rtmaps webcam package 3:13 Select the right webcam camera 3:20 Add an Image Viewer component and connect 3:29 Run the diagram with the Lidar, the IMU, the webcam and the lidar processing algorithm. 3:53 add an Image processing algorithm on the video stream 4:08 Use the Python Bridge and load the script 4:35 Provide a pre-trained model 4:45 Add an Image processing (OpenCV), an Overlay drawing and an Image viewer. 5:40 The complete application -------------------------------------------------------------------------- 🔽 Download RTMaps Are you a student? Please register (with your university email address) and download RTMaps for free! ▶️ https://intempora.com/products/rtmaps... Are you an engineer, developer, researcher for your work or funded project? Please register (with your company/organization email address) and download RTMaps ▶️ https://intempora.com/products/evalua... -------------------------------------------------------------------------- ❇️ About Intempora Intempora is a software company founded in 2001 in Paris, France. Intempora is a dSPACE Group company. With more than 20 years of experience, Intempora provides advanced and innovative development software tools for industries to accelerate the software development of complex real-time applications. RTMaps (Real-Time Multisensor Applications) is a component-based development and execution environment that helps engineers to develop robotics and ADAS / AD software functions. -------------------------------------------------------------------------- 💙 Please Follow us Website: https://www.intempora.com Twitter:   / intempora   Linkedin:   / intempora   Youtube:    / intempora   Intempora © a dSPACE Company - All right reserved