Intempora’s Post

At b-plus, we understand the unique demands of ADAS/AD projects and offer tailored Hardware-in-the-Loop (HIL) solutions to meet these needs. Our CONiX HIL solutions provide exceptional flexibility with both over-the-wire (OTW) and over-the-air (OTA) sensor stimulation configurations. Accurate and reliable validation of sensor and system performance is a common challenge in ADAS/AD development. Our CONiX HIL solutions address this problem by offering high performance and scalability, enabling comprehensive testing and validation for cameras, lidar, radar, and other sensors. Designed to be data center ready, our HIL systems ensure seamless integration into your existing infrastructure, allowing you to efficiently manage and scale your testing processes. With CONiX HIL, you gain precise and reliable ADAS/AD system validation. Discover the power of CONiX HIL solutions and enhance your testing capabilities. Learn more about our cutting-edge systems and how they can benefit your projects at https://lnkd.in/egiK-Gg2 #bplus #hil #otw #ota #innovation #simulation #integration #automotivetesting #highperformance #scalability #datacenterready #camera #lidar #radar #sensor #system #validation

🆕 I successfully navigated my robot in the restaurant simulation world I created using ROS2 Humble and Gazebo. The robot was controlled using teleop with a LiDAR plugin. 🦾📡 This hands-on project demonstrates the practical application of robotics in real-world scenarios, advancing my skills in teleoperation and sensor integration. #Robotics #ROS2 #Gazebo #Teleop #LiDAR #Innovation #Tech #Simulation Thanks Karthikesh J G for providing me this task!

https://lnkd.in/e2ATWF7v Published article: System for Detecting Moving Objects Using 3D Li-DAR Technology Author: Md. Milon Rana Abstract: The “System for Detecting Moving Objects Using 3D LiDAR Technology” introduces a groundbreaking method for precisely identifying and tracking dynamic entities within a given environment. By harnessing the capabilities of advanced 3D LiDAR (Light Detection and Ranging) technology, the system constructs intricate three-dimensional maps of the surroundings using laser beams. Through continuous analysis of the evolving data, the system adeptly discerns and monitors the movement of objects within its designated area. What sets this system apart is its innovative integration of a multi-sensor approach, combining LiDAR data with inputs from various other sensor modalities. This fusion of data not only enhances accuracy but also significantly boosts the system’s adaptability, ensuring robust performance even in challenging environmental conditions characterized by low visibility or erratic movement patterns. This pioneering approach fundamentally improves the precision and reliability of moving object detection, thereby offering a valuable solution for a diverse array of applications, including autonomous vehicles, surveillance, and robotics. #3D #LiDAR #Object #Detection #Camera #PIRsensor #CloudComputing #ComputerArchitecture #DataArchitecture #DataMining #DataModeling #DataScience #DataSecurity #DimensionalAnalysis #EducationalTechnology #ElectricalSytems #ImageProcessing #InformationSecurity #Instrumentation #InternetSecurity #ITStrategy #MachineDesign #MachineLearning #MaterialsScience #MobilityManagement #NetworkProtocols #NetworkSecurity #OperatingSystems #PowerElectronics #ProjectTechnology #QualityControl #ReliabilityTech #Robotics #SemiconductorTechnology #Simulation #SoftwareTesting #SystemDynamics #SystemsDesign #SystemsTechnology #TechnoMechnics #TechnologyandSociety #TechProduction #VehicleTechnology #WirelessSensorNetworks

Good morning I started to continue working on the embedded project this morning, I already have two cars and this afternoon I will get the third one and I will also attach a lidar sensor, then I will do a car race with all three. 🚗 🚗 🚗 #embedded #automotive #software #lidar #microcontrollers

Though this article took place back in June, it's far too interesting not to share! MIT is using lidar and shadows to detect objects that cannot be seen by the sensor. This technology could significantly enhance computer vision in the future across a range of lidar applications. #technology #innovation #sensors #lidar #computervision

Here they come: two automotive qual 100V GaN Devices for LiDAR and other automotive applications.

Our paper titled "SRFDet3D: Sparse Region Fusion based 3D Object Detection," has been published in Neurocomputing journal. ✨ LiDAR-Camera fusion-based end-to-end, single-stage and sparse-prior 3D object detector. ✨ The sparse set of 3D proposals generated by our novel proposal generation module are not only learnt during training but also are input-dependent; thus, providing better potential object candidates for further refinement. ✨ We fuse only a sparse set of proposals to predict the 3D box parameters; thus, reducing the computation cost. ✨ Comprehensive experiments on three large-scale autonomous driving datasets: Waymo, nuScenes and KITTI. 📰 Paper: https://lnkd.in/dQSasY4J 👨💻 Code: https://lnkd.in/duHFBBia Acknowledgements: Fundação para a Ciência e a Tecnologia (FCT) and European Commission #MSCA #autonomousdriving #sensorfusion #LiDAR #Camera #objectdetection #computervision #artificialintelligence #deeplearning

📹🔴 𝗡𝗘𝗪 𝗥𝗧𝗠𝗮𝗽𝘀 𝗧𝗨𝗧𝗢𝗥𝗜𝗔𝗟! Today, it's time to show how to use and visualize data from a Velodyne Lidar sensor with #RTMaps #middleware. 💡 Learn how to set up and acquire data from your sensor with RTMaps and be ready to develop and design your localisation, SLAM or mapping application! Kick start your next #innovation with efficient #softwaredevelopment! 🔍 What you will learn in this video ✅ Introduction to Velodyne Sensors ✅ How to connect the Velodyne Puck Lidar (previously VLP16) with your PC ✅ How to load and connect Velodyne packages and components ✅ Discover the Velodyne Decoder component ✅ Add and configure the 3D Viewer ✅ Display and visualize the Point Cloud with different options Don't miss our new series of RTMaps training & tutorial videos that will give you the knowledge and expertise you need to achieve innovative, advanced, and complex real-time systems such as hashtag #autonomousvehicles 📑📹▶️ https://t.ly/0IhsH #RTMaps #velodyne #lidar #mapping #sensor #tutorial #perception #localization #ai #data #adas #automateddriving🤝

Opsys Technologies are pleased to announce today their integration with Seoul Robotics to create a combined LiDAR and perception software system which will revolutionize automation in industry. 🚀 Opsys, manufacturer of the world’s most advanced pure solid-state scanning LiDAR, has engineered their pioneering technology to be supported by Seoul Robotics’ a world leading 3D perception software company. This collaboration will set a new standard for smart spaces and real time digital twin environments. By combining Opsys’ state-of-the-art industrial LiDAR sensor, the ALTOS, with Seoul Robotics' robust software solutions, the integration aims to enhance the capabilities of smart spaces in industrial settings. This collaboration promises to deliver accuracy, reliability, and efficiency, driving the adoption of advanced perception technologies worldwide. It enables a growing need from a wide range of use cases in today’s Smart Cities, ITS, Security, Smart factories and robotics. 😁 We're excited to be working with the great team at Seoul Robotics led by HanBin Lee . 😁 Learn more https://lnkd.in/eyEvr4vY www.opsys-tech.com #industriallidar #lidar #lidartechnology #industryautomation #smartcities #smartspaces #ITS #robotics #smartfactories #perimetersecurity #security

I have recently been working on an autonomous robot which has LIDAR. Now, I want to incorporate the Intel RealSense D455 for RGB-D SLAM. What are my best options for a low computational cost SLAM? Currently, I am considering the ORB-SLAM v3. Note that I am restricted to using the Jetson Orin Nano and not some high-end GPU for this task. #robotics #autonomous #SLAM #IntelRealSense #LIDAR