<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Safety Testing | Yanlin Zhang</title><link>https://example.com/tag/safety-testing/</link><atom:link href="https://example.com/tag/safety-testing/index.xml" rel="self" type="application/rss+xml"/><description>Safety Testing</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 16 Nov 2023 00:00:00 +0000</lastBuildDate><image><url>https://example.com/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>Safety Testing</title><link>https://example.com/tag/safety-testing/</link></image><item><title>Automated Vehicles for All (AVA)</title><link>https://example.com/project/ava/</link><pubDate>Thu, 16 Nov 2023 00:00:00 +0000</pubDate><guid>https://example.com/project/ava/</guid><description>&lt;h2 id="project-overview">Project Overview&lt;/h2>
&lt;p>The Automated Vehicles for All (AVA) project is a four-year research effort funded by the U.S. Department of Transportation (USDOT). This project is dedicated to forging a systematic approach to achieve a safe integration of automated driving systems into the existing transportation infrastructure, especially on rural roads and multimodal driving enviorments. The project is a led by &lt;a href="https://engineering.tamu.edu/mechanical/profiles/langari-reza.html" target="_blank" rel="noopener">Dr. Reza Langari (TAMU)&lt;/a>, &lt;a href="https://cee.illinois.edu/directory/profile/ataleb" target="_blank" rel="noopener">Dr. Alireza Talebpour (UIUC)&lt;/a>, &lt;a href="https://faculty.engineering.ucdavis.edu/assadian/" target="_blank" rel="noopener">Dr.Francis Assadian (UC Davis)&lt;/a> and &lt;a href="https://engineering.gwu.edu/samer-hamdar" target="_blank" rel="noopener">Dr. Samer Hamdar (GWU)&lt;/a>.&lt;/p>
&lt;p>Aiming to enhance the safety and efficiency of automated driving systems in rural and multimodal driving environments, this project endeavors to not only evaluate these systems, but also generate a comprehensive dataset for automated vehicle safety analysis and rulemaking. Within this project, I served as a &lt;strong>graduate research assistant&lt;/strong>, contributing across multiple teams including &lt;strong>perception&lt;/strong>, &lt;strong>data analysis&lt;/strong>, and &lt;strong>safety testing&lt;/strong>.&lt;/p>
&lt;h2 id="my-contribution">My contribution&lt;/h2>
&lt;figure>
&lt;img src="real-time-point-cloud-seg.gif" width="80%" alt="Trajectory Illustration"/>
&lt;figcaption>Real-time LiDAR point cloud segmentation&lt;/figcaption>
&lt;/figure>
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&lt;p>&lt;strong>Real-time road segmentation using LiDAR data &lt;a href="https://github.com/ava-share/sphereformer-ros" target="_blank" rel="noopener">(code)&lt;/a>:&lt;/strong> I undertook the evaluation of various deep learning models, ultimately integrating the &lt;a href="https://github.com/dvlab-research/SphereFormer" target="_blank" rel="noopener">SphereFormer&lt;/a> model with ROS to facilitate real-time road segmentation utilizing LiDAR data. This application was rigorously tested in a live environment with an automated vehicle, showcasing the potential for enhanced navigational safety.&lt;/p>
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&lt;p>&lt;strong>Comprehensive Data Extraction Pipeline &lt;a href="https://github.com/ava-share/Data_extraction" target="_blank" rel="noopener">(code)&lt;/a>:&lt;/strong> I designed and implemented a comprehensive data extraction pipeline that invinvorporates camera-based detection, 2D-to-3D data fusion, and object tracking to generate a detailed dataset for the analysis of automated vehicle safety and the formulation of regulatory standards.&lt;/p>
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&lt;p>&lt;strong>Implementation of control algorithm and Satety Testing:&lt;/strong> I conducted safety testing on the control and acturation systems of automated vehicles for rural environments in Rantoul, IL.&lt;/p>
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&lt;p>Through these contributions, I aimed to push the boundaries of what&amp;rsquo;s possible with automated driving technologies, ensuring they can be safely and effectively integrated into our transportation systems, particularly in environments that present unique challenges with less infrustructure supports.&lt;/p></description></item></channel></rss>