SecuRESafe (SRES)’s Post

Are you in the world of autonomous vehicles and concerned about the efficacy of your computer vision systems? Join our upcoming webinar to alleviate those fears and boost your confidence! We'll delve into enhancing the safety and reliability of computer vision technologies, underscore the significance of thorough testing methods, and unpack the distinct challenges faced in this domain. Don't miss out—secure your spot today and set your project on the path to success! #computervision #machinelearning #CV #webinar

Discover how Gaussian Splatting revolutionizes AV simulation! This cutting-edge technique enhances the realism of autonomous vehicle simulations by efficiently rendering complex environments with high fidelity. Learn how Gaussian Splatting can improve safety and performance in autonomous driving technology. #gaussiansplatting #avsimulation #autonomousvehicles #selfdrivingcars #simulation #automotive #machinelearning #deeplearning #computervision #technology #rendering #highfidelity #complexenvironments #cuttingedge #futureoftransportation #autonomousdriving #ai #artificialintelligence #vehicletechnology #simulationtechnology

As of my last update in January 2022, LinkedIn doesn't offer a specific course titled "Self-Driving Car Foundational Course with Case Study 2024." However, you can explore LinkedIn Learning for courses related to autonomous vehicles, machine learning, robotics, and related fields, which may cover foundational concepts and case studies relevant to self-driving cars. Keep an eye on updates, as new courses may be added over time to meet evolving industry needs. #SelfDrivingCars #MachineLearning #AI #AutonomousVehicles

Explore the new paper, "NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking." This research introduces NAVSIM, a novel approach for evaluating autonomous vehicle performance using simulation-based metrics. The paper provides a comprehensive analysis of NAVSIM's methodology, which includes simplified bird's-eye view abstractions and a multi-dimensional metric called the PDM Score. These techniques enable efficient, open-loop metric computation while maintaining strong alignment with closed-loop evaluations. For developers and researchers in autonomous driving and AI, this paper is a valuable resource. It offers insights into improving the accuracy and reliability of autonomous vehicle simulations. Read the full paper here: [https://lnkd.in/gABwp37E]

5 Best Robotics Jobs for the Top Future Robotics Careers https://lnkd.in/gEpmMe7f From autonomous vehicles to advanced surgical systems, the future of robotics holds tremendous potential. In this article, we will explore some of the best robotics jobs that are expected to thrive in the top future robotics careers. #RoboticsEngineering #ArtificialIntelligence #Automation #MachineLearning #Engineering #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine

JUST A FEW DAYS LEFT! Don't miss out on our live webinar on Systematic Testing in Computer Vision Systems! We're focusing on the unique challenges of computer vision, particularly in precise object detection and real-time decision-making for autonomous vehicle systems but this is a must-attend for ALL computer vision experts. You'll gain insights on enhancing safety and reliability, rigorous testing methodologies, and understanding the unique challenges in computer vision for autonomous vehicles. If you can't make it, don't worry. All registrants will be sent a recording! #webinar #computervision #autonomousdriving

How do we design simulation scenarios for autonomous vehicles in simulation? A DIALOGUE INTERFACE FOR CREATING DRIVING SCENARIOS investigates at our #TASshowcase2024 Follow the more details of this event: https://lnkd.in/eAhu_YKB #AI #AIcommunity #AutonomousVehicles

Interesting and insightful #autonomousvehicle research published by the Chamber of Progress and Fourth Economy today. They modeled U.S. workforce impact scenarios over the next 15 years, for utilization in taxi, personal car ownership, trucking, etc., which were informed by investments the industry is already making. A few takeaways stood out to me: "For every 1,000 AVs produced and deployed annually, approximately 190 workers will be needed for manufacturing and servicing these vehicles." "In a moderate economic scenario, the report anticipates deployment of 9 million autonomous vehicles over the next 15 years, with 114,000 jobs created." "AV industry jobs typically pay above U.S. median wage. Analysis shows that 82 percent of AV workers make more than the US median wage." "AVs can support the resiliency of the US auto industry where it is strong today and create new centers for AV-related jobs in places with strong tech sectors." "To take advantage of AV economic and job opportunities, the US must encourage further technology development, increase capital investment, and establish a favorable regulatory framework."