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[Case study] How to Provide High Efficient and Accurate Auto-driving Traffic Sign Annotations Traffic signs provide essential information for safe driving, including speed limits, warnings, directions, and other regulations. For autonomous vehicles to reliably navigate roads, they must be able to accurately detect, recognize, and interpret all types of traffic signs in real-time. https://lnkd.in/gCvyRAyG #autonomousdriving #dataannotation #trafficsign

Ever wonder how self-driving cars stay safe? 🚗🔧 With cars moving towards full automation, safety is more crucial than ever. ISO 26262 is the international standard ensuring these vehicles are built to the highest safety standards. In my latest blog, I explore how ISO 26262 is shaping the future of autonomous driving, breaking down its key aspects and why it matters. I'd love to hear what you think! #AutonomousVehicles #VehicleSafety #ISO26262 #SafetyStandards

The question of generalizable autonomous vehicles or robotaxis by 2025 may be a bit farfetched.As of now, the reality is closer to specialized autonomous systems like trucks, not yet fully available to the consumer market. #RealityCheck #RoboTaxis #2025Goals

Deloitte predicts that we’ll see more advanced autonomous vehicle technology and services underway by 2035. However, before fully autonomous vehicles can safely share roads with human drivers, several barriers must be overcome. Advanced driver assistance systems (#ADAS) features, including cameras and radar, are likely to be one way to achieve greater adoption of self-driving technologies. Learn more about Deloitte’s predictions for autonomous vehicles and the future of #mobility: https://dow.inc/3WthdWr And learn how Dow’s silicone technologies are playing a role in these critical ADAS applications: https://dow.inc/3y230pn

The legal and regulatory landscape governing the testing and deployment of autonomous vehicles within the United States continues to evolve. The Dentons 2024 US Autonomous Vehicles Guide provides a detailed roadmap of the legal, regulatory and political landscape for autonomous vehicles so that stakeholders can have the tools needed to navigate this emerging industry. Read the full report: https://lnkd.in/gxyvECb8 #AutonomousVehicles #AutonomousDriving

Navigating the complexities of autonomous vehicles in port environments requires a deep understanding of the technology behind them. We’ve got you here! How do autonomous vehicles “see“? 👀 In this blog-post we share the intricacies of how FERNRIDE-enabled autonomous vehicles perceive their surroundings, manage obstacles, and ensure safety in highly dynamic environments. Read the full article to learn more: The link is in the comment section below. 🔗 👇 Thanks to the hybrid approach of combining autonomous technology with human oversight, the solution delivers the benefits of automation and also the flexibility that reduces implementation costs and complexities. #FERNRIDE #humanassistedautonomy #autonomoustrucking #futureoflogistics

Getting ready for AVs? 93% of US municipalities say yes..... Autonomous vehicles are coming: most US municipalities (93%) think they will need to be ready for driverless AVs on their streets in the next five years. That is among the key findings from research by Verra Mobility Corporation. #VeraMobilityCorporation #autonomousvehicles https://lnkd.in/eQRhCDSn

Top 10 AI Tools for Autonomous Vehicles: Future Transport Discover the top 10 AI tools revolutionizing autonomous vehicles and paving the way for safer, more efficient transport systems. These advanced technologies are reshaping the future of mobility. https://shorturl.at/dsJN7 #AutonomousVehicles #AIinTransportation #FutureTech #SelfDrivingCars #MachineLearning #IW #IWNews #IndustryWired

Many vehicles nowadays have advanced driver assistance systems, but how far away are we from cars with full autonomy? Henry Liu, a U-M professor and the director of Mcity, breaks down the current state of autonomous vehicles: myumi.ch/bEgW9

🚗 Setting new standards in autonomous vehicle testing, Plextek played a vital role in Cranfield University's groundbreaking £12 million HumanDrive project, aimed at achieving autonomous, end-to-end vehicle journeys. We provided twelve electronic-scanning radars for their advanced vehicle control system. These radars, in conjunction with AI and ML, enabled vehicles to navigate challenging situations like crowded sidewalks and poor visibility caused by harsh weather conditions. 🌧️ 🔬 Leveraging the data collected by our radar system, we were able to validate the decision-making capabilities of the autonomous vehicle. Paving the way for an impressive 200-mile journey, accomplished entirely without a driver. It signifies a significant breakthrough in the deployment of autonomous vehicles, marking a major milestone for the industry. Discover more about our role in this remarkable project at: For more details, visit: https://lnkd.in/e-edhFyW #AutonomousVehicles #IntelligentMobility 📡