All articles in Atmosphere MDPI (2073-4433) Vol 15, Issue 5, are now freely available to access, read and download: https://brnw.ch/21wKI1i COVER STORY: The problem of snow accumulation and ice formation on airplane wings, wind turbine blades, transmission cables or buildings has been studied over several decades. With the growing interest in autonomous vehicles (AVs), this concern extends to advanced driver-assistance systems (ADAS). The full autonomy of AVs is not ensured during episodes of intense weather precipitation, as stressors like snow and icing negatively influence sensor functionality. For this reason, research from Ontario Tech University presents work discussing existing icing and snow accretion models, along with their adaptations for automotive applications. A model architecture is proposed in order to progress toward adequate snow accretion predictions for AV operating conditions, and preliminary results are presented. Read more: https://brnw.ch/21wKI1i #mdpi #openaccess #autonomousvehicles #weather #research
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What is RTK GPS technology? Delve into this article to explore. In today's digitally driven world, accurate positioning is fundamental to various applications, from navigation and surveying to precision agriculture and autonomous vehicles. Real-Time Kinematic (RTK) GPS is a revolutionary technology that has transformed the accuracy and reliability of GPS positioning. In this article, we delve into the intricacies of RTK GPS, exploring how it works, its advantages, applications, and its role in shaping diverse industries. 1.What is RTK GPS? RTK GPS stands for Real-Time Kinematic Global Positioning System. It is a satellite-based navigation system that provides highly accurate positioning information in real-time. Unlike conventional GPS systems, which typically offer accuracy within several meters, RTK GPS can achieve centimeter-level accuracy, making it invaluable for applications that require precise positioning data. 2.How does RTK GPS work? At the core of RTK GPS technology is a process called kinematic positioning. RTK GPS systems consist of two main components: a base station and a rover receiver. The base station, typically placed at a known location with a precisely determined position, receives signals from GPS satellites and calculates corrections for errors in the positioning data. These corrections are then transmitted to the rover receiver, which is mounted on a moving object or device. The rover receiver uses the corrections received from the base station to refine its own GPS measurements in real-time, resulting in highly accurate positioning information. #GNSS #GPS #satellitetiming #timeservice #navigation #positioning #GNSSmodule #GNSSboard #UAV #driving
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On #AutonomousVehicleDay we recognize the tech and innovation that goes into the radar, lidar, and sensor systems that make this technology possible. Learn more about Autonomous Vehicles in our new blog, https://bit.ly/3KrIily. #AutonomousVehicles #AutonomousVehicleDay2024 #EVs #Radar #Lidar #Engineering #Tektronix #TestAndMeasurement
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Autonomous systems have the capability to make decisions that can save lives without any human intervention. However, these systems must first learn through simulations before being tested in real-world situations. DARPA's recent research is aiding UAVs in learning at a faster and more efficient pace. #AutomotiveIndustry #AutonomousVehicles #eAuto https://lnkd.in/dcSMbFNn
Autonomous systems learn faster in low-fidelity simulations, says DARPA
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Autonomous systems have the capability to make decisions that can save lives without any human intervention. However, these systems must first learn through simulations before being tested in real-world situations. DARPA's recent research is aiding UAVs in learning at a faster and more efficient pace. #AutomotiveIndustry #AutonomousVehicles #eAuto https://lnkd.in/dRK98geh
Autonomous systems learn faster in low-fidelity simulations, says DARPA
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enabling digital services for Student Loan related activities while maintaining the highest security standard, the most compliant personal data protection and customer-centric data-driven innovation.
🌟 Exciting News Alert! 🌟 Check out this fascinating blog post on "Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic Violations" which addresses critical issues in estimating safety probabilities for Autonomous Vehicles (AVs) in simulations. The post introduces a groundbreaking method that combines rare-event sampling techniques with online specification monitoring algorithms to produce efficient estimates, outperforming traditional Monte-Carlo and importance sampling techniques. Click the link to read the full article: https://bit.ly/3ViEQQL. This is a must-read for anyone involved in simulated AV-pipelines and traffic rule-based specifications. #TrafficSafety #AutonomousVehicles #SimulationTesting 🚗
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Autonomous systems have the capability to make decisions that can save lives without any human intervention. However, these systems must first learn through simulations before being tested in real-world situations. DARPA's recent research is aiding UAVs in learning at a faster and more efficient pace. #AutomotiveIndustry #AutonomousVehicles #eAuto https://lnkd.in/eUzZBrNK
Autonomous systems learn faster in low-fidelity simulations, says DARPA
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Autonomous systems have the capability to make decisions that can save lives without any human intervention. However, these systems must first learn through simulations before being tested in real-world situations. DARPA's recent research is aiding UAVs in learning at a faster and more efficient pace. #AutomotiveIndustry #AutonomousVehicles #eAuto https://lnkd.in/didgXEHp
Autonomous systems learn faster in low-fidelity simulations, says DARPA
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Types of GNSS Correction Methods and When to Use Them In the following article Daniel Gruver, Director of Product, Point One Navigation, breaks down the strengths and weaknesses of RTK, PPP, & SSR GNSS signal correction methods to help developers choose which solution is best for their needs. GNSS has revolutionized how humans and machines navigate on Earth, and an increasing number of organizations are leveraging positioning data as they develop innovative new applications. For example, autonomous vehicles, robots, logistics fleets, and emergency response systems all use GNSS technology to precisely locate people, things, and places on Earth’s surface and develop routes accordingly. However, various atmospheric and technological elements often require GNSS signals to be corrected by receivers after they leave a satellite. To mitigate these inaccuracies and any resulting errors in the applications powered by GNSS, several methods have been developed to correct these signals. Each method offers unique advantages and considerations, catering to diverse accuracy requirements and application scenarios, so it’s important to understand them before selecting one. Read the entire article at Unmanned Systems Technology Magazine https://lnkd.in/gyEi-3Sk #GNSS #RTK #autonomousVehicles #ADAS #selfdrivingcars #navigationTechnology
Types of GNSS Correction Methods and When to Use Them | Unmanned Systems Technology
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Autonomous systems have the capability to make decisions that can save lives without any human intervention. However, these systems must first learn through simulations before being tested in real-world situations. DARPA's recent research is aiding UAVs in learning at a faster and more efficient pace. #AutomotiveIndustry #AutonomousVehicles #eAuto https://lnkd.in/ee6HUG3v
Autonomous systems learn faster in low-fidelity simulations, says DARPA
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Robotics Voice | ROS | ADAS | Autonomous Vehicles | Control System | Computer Vision | Machine Learning
Lidar mapping with ground truth localization is a powerful method for accurately mapping environments. Lidar provides high-resolution 3D scans of the surroundings, while ground truth localization ensures precise positioning data, typically achieved through GPS or other sensor fusion techniques. By combining these two technologies, you can create detailed maps with accurate spatial information, which is invaluable for applications such as autonomous vehicles, robotics, and urban planning. Github: https://lnkd.in/gkhah2GN Github:https://github.com/OctoMap #SUST_Autodrive #ROS #3D_mapping #autonomousdriving #ros
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