COAST Autonomous’ Post

🚀 Exciting News in AI! 🚀 The recent launch of YOLOv11 marks a significant advancement in object detection technology, promising to redefine the landscape of real-time applications. With its enhanced architecture, YOLOv11 delivers unprecedented speed and accuracy, making it ideal for critical fields such as autonomous vehicles, surveillance systems, and robotics. The article highlights its innovative features, including improved model efficiency and user-friendly deployment. Discover how YOLOv11 can transform industries and elevate technological capabilities. Explore the full overview here: https://weare.rs/3XKLkri #AI #ObjectDetection #YOLOv11 #Innovation #TechNews #MachineLearning #DeepLearning #Automation #Robotics Ultralytics

AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society, Santhiram Engineering College, Nandyal 🚗 Object Detection! Excited to unveil my latest project where technology drives innovation. Watch as our state-of-the-art object detection system accurately identifies and tracks vehicles in real-time. Real-time detection and tracking. Potential applications in autonomous driving, traffic management, and road safety. #ObjectDetection #innovation #AIMERS #AIMERSSociety #AI #AutonomousDriving #RoadSafety

🚗🤖 Tesla’s AI-Driven Future: New Robotaxi & Robovan Unveiled 🤖🚗 Tesla is pushing the boundaries of autonomous tech with its latest reveals: the Cybercab Robotaxi and the Robovan. These vehicles take autonomy to the next level, running entirely on AI and cameras—no steering wheels, no pedals, and no traditional hardware like LiDAR (which uses lasers to create 3D maps of the environment) 🌐📷. The Robovan is designed for multiple uses, from passenger transport to cargo delivery, while Tesla's Optimus humanoid robot signals its growing focus on AI and robotics. Although challenges remain, this is a significant step toward AI-powered mobility 🚀 Want to learn more about how technologies like these are shaping the future? XPONENTIAL Europe 2025 is the perfect place! 🌟 And guess what? The ticket shop is now live! Join the conversation, discover cutting-edge innovations in robotics and AI, and be part of the future of mobility. 🚀🎟️ Get your tickets now!

YOLOv8 (You Only Look Once version 8) is a deep learning-based algorithm for real-time object detection and segmentation in images and videos. It's a significant upgrade to the popular YOLO series, offering improved accuracy, efficiency, and features. YOLOv8 key advancements include: - Improved detection accuracy - Enhanced segmentation capabilities - Real-time performance - Support for various architectures (e.g., YOLOv8s, YOLOv8m, YOLOv8l) - Advanced features like instance segmentation and object tracking YOLOv8 has numerous applications in: - Computer vision - Autonomous vehicles - Surveillance - Healthcare - Robotics #AIMERsociety #AIMERS #saisatish

Day 3 of the workshop: Quanser QCar in Action: Exploring Digital Twin Applications. “Accelerating Edge AI from Concept to Deployment with Jetson Nano” workshop was nothing short of amazing! A key highlight was the hands-on demo of the Quanser QCar, which provided us with deep insights into how Digital Twin technology is revolutionizing real-world applications. Key Learnings from the QCar Demo: * Understanding the role of Digital Twins in autonomous mobility and advanced simulations. *Integration of real-time data with the QCar, showcasing its potential for AI-based control and edge computing solutions. *Hands-on exploration of sensor data and its impact on improving decision-making for autonomous systems. The demo truly emphasized the transformative power of Digital Twin technology in industries like autonomous vehicles and smart systems. Check out this video to witness the Quanser QCar in action. A heartfelt thank you to Mr. Prakash Kannaiah for guiding us through this inspiring session and to the workshop organizers for this enriching experience. #EdgeAI #QuanserQCar #DigitalTwin #AutonomousMobility #EdgeComputing #Innovation #JetsonNano #KCT #KSI #LearningJourney

Advancing Object Tracking and Trajectory Prediction! In today's rapidly evolving tech landscape, the ability to accurately predict the distance between moving objects and their trajectories is more crucial than ever. Whether it's for autonomous vehicles, surveillance systems, or robotic applications, this capability can significantly enhance safety and efficiency. Key Developments: State-of-the-art computer vision techniques and machine learning models are being leveraged to develop systems that can: 1. Accurately Measure Distance: Using advanced algorithms to calculate the precise distance between moving objects in real-time. 2. Predict Trajectories: Employing predictive modeling to anticipate the future paths of these objects, ensuring timely and appropriate responses. Applications and Impact: - Autonomous Vehicles: Enhancing the safety and navigation capabilities of self-driving cars. - Surveillance Systems: Improving monitoring and threat detection in security applications. - Robotic Systems: Facilitating smoother and more reliable interactions in automated environments. Why It Matters: This technology not only pushes the boundaries of what’s possible but also opens up new avenues for innovation across various industries. By accurately predicting object movement, accidents can be reduced, operational efficiency improved, and more intelligent systems created. Exciting times ahead as these advancements continue to unfold! #ComputerVision #MachineLearning #ObjectTracking #TrajectoryPrediction #AI #Innovation

🚀 Exciting News! Our research paper titled "Optimizing Lateral Motion Control of an Autonomous Ground Vehicle Using Modified Particle Swarm Optimization with Model Predictive Controller" is now published on IEEE Xplore! 🎉 🔗 Access it here: https://lnkd.in/gujqtv-V This work explores an innovative method to enhance lateral motion control in Autonomous Ground Vehicles (AGVs). By integrating Modified Particle Swarm Optimization (MPSO) with a Model Predictive Controller (MPC), we achieved significant improvements in agility, precision, and computational efficiency. 🚗 Highlights of Our Study: ✅ Refined AGV dynamics using an updated bicycle model. ✅ Developed a streamlined MPC approach to simplify computations. ✅ Introduced MPSO to optimize steering adjustments, outperforming conventional PSO, Genetic Algorithm (GA), and Batch Gradient Descent (BGD). ✅ Demonstrated superior results across metrics like steering angle, lateral position, and computational time. Why This Matters: Lateral motion control is a cornerstone of autonomous vehicle safety and efficiency. Our approach pushes the boundaries of performance, offering scalable solutions for real-world applications. We invite researchers, professionals, and enthusiasts in autonomous systems, control engineering, and AI-driven optimization to explore our work and share your thoughts! 🚘🤖 #AutonomousVehicles #AI #ParticleSwarmOptimization #ModelPredictiveControl #IEEE #Innovation #ResearchImpact

YOLOv8 (You Only Look Once version 8) is a deep learning-based algorithm for real-time object detection and segmentation in images and videos. It's a significant upgrade to the popular YOLO series, offering improved accuracy, efficiency, and features. YOLOv8 key advancements include: - Improved detection accuracy - Enhanced segmentation capabilities - Real-time performance - Support for various architectures (e.g., YOLOv8s, YOLOv8m, YOLOv8l) - Advanced features like instance segmentation and object tracking YOLOv8 has numerous applications in: - Computer vision - Autonomous vehicles - Surveillance - Healthcare - Robotics #AIMERsociety#AIMERS#saisatish

#SamsungSemiconductor has unveiled the industry's first 24Gb #GDDR7 #DRAM. Pushing the boundaries of applications that require high-performance memory, this game-changing solution boasts 40Gbps speeds and a 30% boost in power efficiency compared to its predecessor, making it ideal for use in #GraphicCards, autonomous vehicles, data centers, #AI workstations, and more. Ready to experience a new level of performance? Read more about this groundbreaking innovation. https://lnkd.in/ePMg4gSD

Day 3 of the Workshop: Quanser QCar Unveiled: Pioneering Digital Twin Innovations. The session “Accelerating Edge AI from Concept to Deployment with Jetson Nano” was nothing short of a groundbreaking experience. A standout moment was the hands-on demonstration of the Quanser QCar, offering profound insights into how Digital Twin technology is reshaping real-world applications. Key Takeaways from the QCar Showcase: A comprehensive understanding of Digital Twins' pivotal role in autonomous mobility and high-fidelity simulations. Seamless integration of real-time data with the QCar, revealing its immense potential for AI-driven control and cutting-edge edge computing solutions. Hands-on engagement with sensor data, showcasing its critical influence on enhancing decision-making frameworks in autonomous systems. This immersive demo underscored the game-changing capabilities of Digital Twin technology in revolutionizing domains such as autonomous vehicles and intelligent systems. A heartfelt appreciation to Mr. Prakash Kannaiah for his invaluable guidance throughout this enlightening session and to the workshop organizers for curating such a transformative experience. Witness the Quanser QCar in action in the shared video! #EdgeAI #QuanserQCar #DigitalTwin #AutonomousMobility #EdgeComputing #Innovation #JetsonNano #KCT #KSI #LearningOdyssey