~hackernoon | Bookmarks (1884)
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Controlling Automated Vehicles on Large Lane-free Roundabouts: Simulation Results
The simulations using TrafficFluid-Sim validate the proposed roundabout control strategies on the complex Place Charles de...
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Integrating Boundary Control and Safety Measures in Lane-Free Traffic Systems
The paper introduces advanced boundary and safety controllers for vehicles in lane-free environments. Lateral boundary controllers...
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Optimizing Vehicle Flow in Complex Roundabouts: OD Corridors and Desired Orientations
The paper outlines a strategy for defining OD corridors and specifying desired orientations for automated vehicles...
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Advanced Nonlinear Feedback Control Techniques for Automated Vehicles
The nonlinear feedback controllers (NLFCs) are designed for real-time vehicle control on straight and circular roads....
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Collision Detection and Control in Automated Vehicle Simulations
The vehicle modeling section outlines the use of the kinematic bicycle model for dynamic analysis, transformation...
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Meet Algolia: HackerNoon Company of the Week
This week, we are proud to present Algolia - the world’s only end-to-end AI search and discovery...
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Controlling Automated Vehicles on Large Lane-free Roundabouts
This study presents a new approach for managing automated vehicles on complex, lane-free roundabouts like Paris'...
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The Pursuit of Purpose: Why Are So Many People Quitting Their Jobs?
Work isn't the source of happiness; it's a means to an end. Whether in tech or...
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10 Days of .Net Aspire: Day 4 — Using Oracle Component in Visual Studio
The.Net Aspire framework is used to develop cloud and production-ready distributed applications. It consists of components...
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Are Digital Technologies Really Neutral? Exploring the Political Power of Blockchain Technology
The article explores the myth that technology is neutral, focusing on how blockchain can either decentralize...
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Code Smell 267 - Objects Aliasing
Aliasing happens when multiple references point to the same mutable object. This can lead to unexpected...
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RemotiveLab's RemotiveBroker Now Supports SecOC Integration Directly in Signal Database
The RemotiveBroker, the platform’s core component, now supports message authentication through SecOC along with E2E protection.
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Gamification: A Key Driver of Mass Adoption
Gamification will be one of the main drivers for mass adoption in the brave new world....
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Educational Byte: Using Coins and Tokens in Different Crypto Networks
Using the same token in one network may be cheaper and faster than in another, so...
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Pawsitive Results: How to Build the Ultimate Puppy Trainer AI-chatbot With Coze
I created an AI-powered puppy trainer bot using Coze, a user-friendly, no-code platform. It helped me...
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The Specifics Of Data Affect Augmentation-Induced Bias
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Conclusion and Limitation
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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Alternative Architectures Have Variable Effect On Augmentation-Induced Bias
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
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A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro
Data augmentation enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly.
