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<!DOCTYPE html>
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<title>RADAS</title>
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<h1 class="text-light"><a href="index.html"><strong>RADAS</strong></a></h1>
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<ul>
<li><a href="#about">Summary</a></li>
<li><a href="#services">Workshop program</a></li>
<li><a href="#format">Venue & Format</a></li>
<li class="drop-down"><a href="#Dates">Call for Papers</a>
<ul>
<li><a href="#Dates">Important Dates</a></li>
<li><a href="#submission">Submission instructions</a></li>
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<li><a href="#contact">Organizing Committee</a></li>
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<h2 class="animated fadeInDown text-center">RADAS 2021 </h2>
<h2 class="animated fadeInDown text-center"><span>1st </span> International Workshop on Reliability of Advanced Driving Assistant Systems </h2>
<h4 class="animated fadeInDown text-center">Co-located with ISSRE 2021 </h4>
<h4 class="animated fadeInDown text-center">Oct 25, 2021 - Wuhan, China</h4>
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<div class="section-title">
<h2>Workshop summary</h2>
<p>International Workshop on Reliability of Advanced Driving Assistant Systems (RADAS 2021) seeks to bring together researchers and practitioners to exchange and discuss the reliability issues of the emerging advanced driving assistant systems. As the AV (Autonomous Vehicle) industry is growing exponentially, and according to a report by Market Research Future, the market is expected to hit over $65 billion by 2027. With the recent popularity and attention received by AV industry, advanced driving assistant systems (including many autopilot systems) has become a key driving force of the next-generation AV technology. However, the reliability and safety issues of advanced driving assistant systems have caused wide public concern and touched a nerve of public anxiety, especially when fatal traffic accident happened due to failures of advanced driving assistant systems. This year’s RADAS centers around two key scopes to bring researchers with diverse background (e.g., reliability, autopilot, AI) to come up with in-depth discussion and solutions for both reliability issues and autopilot techniques: (1) How to better take the advantage of recent reliability techniques and tools to further improve quality of advanceddriving assistant systems, and (2) How to advance and develop reliability theory and methods for AI-Intensive Systems (e.g., autopilot system). As we see that reliability techniques have already significantly contributed to automotive industry, with some initial work to research on AV and autopilot technology. On the other hand, reliability for autopilot is still at a very early stage.</p>
<p>RADAS 2021 will, therefore, be a workshop, which seeks to develop a cross-domain community that systematically looks into both areas from the new perspective. The workshop will explore the emerging techniques and tools for assessing, predicting, and improving the safety, security, quality, and reliability of advanced driving assistant systems that in turn help the development of reliability modeling methods and techniques. We hope RADAS could facilitate to improve autopilot systems with high quality, as well as accelerate the process of system engineering and quality assurance. </p>
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<div class="container">
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<h2>Our Theme, Goals and Relevance</h2>
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<div class="row">
<div class="col-lg-4 col-md-6 icon-box" data-aos="fade-up">
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<h4 class="title"><a href="#services">Theme</a></h4>
<p class="description" style="text-align: left;">The theme of the workshop is to leverage traditional reliability techniques to better understand advanced driving assistant system and draw strong connections between the two. We aim to apply reliability methods to accomplish the tasks such as failure prediction for advanceddriving assistant system, as well as advance and complement the existing reliability theory and practice for AI-Intensive System.</p>
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<h4 class="title"><a href="#services">Goals</a></h4>
<p class="description" style="text-align: left;">Our main goal is to shed light on the direction of applying the principles of reliability theory and methods to advanced driving assistant system and therefore evaluate the robustness of autopilot techniques especially AI-based techniques. The workshop also aims to leverage reliability techniques to advance the efficiency, accuracy, effectiveness, and usefulness of current autopilot techniques.
</p>
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<h4 class="title"><a href="#services">Relevance</a></h4>
<p class="description" style="text-align: left;">
The audience of ISSRE focuses on general reliability issues of hardware/software systems, which is highly related and would be benefited by leveraging the reliability techniques for advanced driving assistant system. In addition, it would be helpful for the ISSRE community to know at what aspect the reliability theory and methodology should be improved for the AI-Intensive System (e.g., autopilot systems) and make a broader impact to the community.
</p>
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<section id="format" class="format">
<div class="container">
<div class="section-title">
<h2> Venue & Format </h2>
</div>
<p>
The conference will be held at the <strong>East Lake Hotel</strong> in Wuhan.East Lake Hotel is located in Wuchang, the urban center of Wuhan, near the Chu River and Han Street. Due to its convenient location, plenty of tourist attractions are located around the hotel, including the Yellow Crane Tower, East Lake and the banks of the Yangtze River, all just 20 minutes away by car. Guests are also just a ten-minute drive away from the Wuchang Railway Station.
</p>
<p style="font-size: 22px;"><strong>Workshop format - October 25, 2021</strong></p>
<p style="color: purple; font-size: 18px;"> <strong>8:40am - 9:00am UTC+8 <br>
Opening </strong></p>
<p > <strong style="color: purple;font-size: 18px;">9:00am - 10:00am UTC+8 <br>Session 1: Keynote<br>
</strong>
<strong> Keynote Talk: <i>Towards Secure and Robust AI Stack in Autonomous Driving </i></strong><br> - Qi Alfred Chen, Assistant Professor in the Department of Computer Science at the University of California, Irvine
</p>
<p style="color: purple; font-size: 18px;"><strong> 10:00am - 11:00am UTC+8 <br>Session 2: Invited Talk</strong></p>
<strong> (10:00 - 10:30) Invited Talk 1: <i>Deeptest in Autonomous Driving</i></strong><br> - Baishakhi Ray, Associate Professor in Columbia University, USA
</p>
<strong> (10:30 - 11:00) Invited Talk 2: <i>Security Investigation of ROS-based Systems and Applications</i></strong><br> - Tianwei Zhang, Assistant Professor in the School of Computer Science and Engineering at Nanyang Technological University, Singapore
</p>
<p style="color: purple; font-size: 18px;"><strong> 11:00am - 12:00am UTC+8 <br>Session 3: All in One</strong></p>
<p style="padding-left: 18px;"> (11:00 - 11:20) <strong><i>MC-FGSM: Black-box Adversarial Attack for Deep Learning System</i></strong><br>
Wenqiang Zheng and Yan-Fu Li</p>
<p style="padding-left: 18px;"> (11:20 - 11:40) <strong><i>Issue Categorization and Analysis of an Open-Source Driving Assistant System</i></strong><br>
Shuncheng Tang, Zhenya Zhang, Jia Tang, Lei Ma and Yinxing Xue</p>
<p style="padding-left: 18px;"> (11:40 - 12:00) <strong><i>Semantic Learning and Understanding of multi-vehicle interaction patterns Using Primitive Driving Patterns With Bayesian Nonparametric Approaches</i></strong><br>
Lulu Jia, Dezhen Yang, Yi Ren, Cheng Qian and Zhifeng Li</p>
<p style="color: purple; font-size: 18px; padding-bottom: 30px;"> <strong>12:00am - 12:10pm UTC+8 <br>
Session 3: Closing Remarks </strong></p>
</div>
</section>
<section id="Dates" class="Dates">
<div class="container">
<div class="section-title">
<h2>Important Dates</h2>
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<h3> Abstract Registration</h3>
July 25, 2021
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<h3> Paper Submission </h3>
<del><span class="del">August 5, 2021</span></del>
<div style="color: red;">August 13, 2021</div>
</div>
</div>
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<div class="info-box">
<h3> Notification </h3>
<del><span class="del">August 23, 2021</span></del>
<div style="color:red;">August 31, 2021</div>
</div>
</div>
<div class="col-lg-3 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Camera-ready Paper </h3>
<del><span class="del">August 30, 2021</span></del>
<div style="color: red;">September 7, 2021</div>
</div>
</div>
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<h3> Workshop Date: </h3>
Oct 25, 2021
</div>
</div>
</div>
</div>
</section>
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<!-- ======= Our Portfolio Section ======= -->
<section id="submission" class="submission">
<div class="container">
<div class="section-title">
<h2> Submission instructions </h2>
</div>
<h4><strong>Q: What types of contributions are accepted? </strong></h4>
<h4>This workshop accepts regular <strong>research papers</strong> within 6 pages, <strong>short papers</strong> within 4 pages and <strong>position papers </strong>within 2 pages.
</h4>
<h4>
Submitted papers must conform to the two-column IEEE conference publication format. Templates for LaTeX and Microsoft Word are available from <a href="http://www.ieee.org/conferences_events/conferences/publishing/templates.html">http://www.ieee.org/conferences_events/conferences/publishing/templates.html:</a> please use the letter format template and conference option.
</h4>
<h4>
Papers should be submitted in the PDF format: they must not exceed page limit. Submissions will be handled via EasyChair. Papers must neither have been previously accepted for publication nor be under submission in another conference or journal. For your paper to be published in the proceedings, at least one of the authors of the paper must register for the conference and confirm that she/he will present the paper in person.
</h4>
<h4>
<strong>Describe the review and evaluation process to decide which submissions to accept: </strong>All papers will be evaluated in terms of the following criteria:
</h4>
<ul>
<li><h4><strong>Originality or potential for impact:</strong> The submission presents a particularly novel collation of historical work, insight or approach towards new/future work, and/or is potentially disruptive of current practice or common knowledge.</h4>
</li>
<li>
<h4><strong>Soundness:</strong> The submission makes a coherent argument, substantiated by historical analysis, cogent analytical argument, or appropriately-scoped initial empirical results.</h4>
</li>
<li>
<h4><strong>Relevance:</strong> The submission appropriately considers and puts itself in context with respect to the relevant literature.</h4>
</li>
</ul>
<h4>
Specific topics of interest include, but are not limited to the following subject categories:
</h4>
<ul>
<h4>
<li>Testing and verification of Advanced Driving Assistant Systems
</li>
<li>
Robustness, adversarial attack, defense in Advanced Driving Assistant Systems
</li>
<li>
Defects, errors, failures, defects, bugs of Advanced Driving Assistant Systems
</li>
<li>
Availability and safety of Advanced Driving Assistant Systems
</li>
<li>
System and software security of Advanced Driving Assistant Systems
</li>
<li>
Hardware reliability of Advanced Driving Assistant Systems
</li>
<li>
Systems (software and hardware) engineering of Advanced Driving Assistant Systems
</li>
<li>
AI and Advanced Driving Assistant Systems
</li>
<li>
Quality Assurance of Advanced Driving Assistant Systems
</li>
<li>
Traffic Engineering for reliability of Advanced Driving Assistant Systems
</li>
<li>
Human computer interaction issues in Advanced Driving Assistant Systems
</li>
<li>
Empirical studies on Advanced Driving Assistant Systems
</li>
<li>
Industry best practices
</li>
</h4>
</ul>
<h4><strong>Submit:</strong></h4>
<h4><a href="https://easychair.org/conferences/?conf=radas2021">submission site</a></h4>
</div>
</section>
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<h2 >Expected Participation</h2>
<h3>
We expect to attract researchers and practitioners from either reliability or advanced driving assistant system communities to attend the RADAS. The ballpark estimate of the number of participants is 20-30 attendees. We also expect to take in around 12 submissions and eventually 3-4 accepted papers would warrant publication. As the RADAS is the first start-up workshop connecting reliability and autopilot techniques, we hope that the fairly competitive acceptance rate would facilitate high-quality submissions, to eventually build up the workshop to be the home of crossover areas of reliability and advanced driving assistant system.
</h3>
</div>
</div>
</section><!-- End Our Portfolio Section -->
<!-- ======= Frequently Asked Questions Section ======= -->
<section id="contact" class="contact">
<div class="container">
<div class="section-title">
<h2>Organizing Committee</h2>
</div>
<div class="row">
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<h3> Yinxing Xue </h3>
<h3>(University of Science and Technology of China, China) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Yan-Fu Li </h3>
<h3>(Tsinghua University, China) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Lei Ma </h3>
<h3>(University of Alberta, Canada) </h3>
</div>
</div>
<div class="col-lg-6 align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Shengjian Guo </h3>
<h3>(Baidu Research Silicon Valley, USA) </h3>
</div>
</div>
<div class="col-lg-6 align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Guozhu Meng </h3>
<h3>(University of Chinese Academy of Sciences, China)</h3>
</div>
</div>
</div>
</div>
<div class="container">
<div class="section-title">
<h2>Program Committe</h2>
</div>
<div class="row">
<div class="col-lg-6 align-items-stretch" data-aos="fade-up">
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<h3> Bai Xue </h3>
<h3>(Chinese Academy of Sciences, China) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Zhisheng Hu </h3>
<h3>(Baidu Research Silicon Valley, USA) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Yueqiang Cheng </h3>
<h3>(NIO Security Research Lab, USA) </h3>
</div>
</div>
<div class="col-lg-6 align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Guangdong Bai </h3>
<h3>(The University of Queensland, Australia) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Shuang Liu </h3>
<h3>(Singapore Institute of Technology, Singapore) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Naipeng Dong </h3>
<h3>(National University of Singapore, Singapore) </h3>
</div>
</div>
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Hongxu Chen </h3>
<h3>(Nanyang Technological University, Singapore) </h3>
</div>
</div>
</div>
<div class="container">
<div class="section-title">
<h2>Other Chairs</h2>
</div>
<div class="row">
<div class="col-lg-6 d-flex align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Shuncheng Tang (Web Chair)</h3>
<h3>(University of Science and Technology of China, China) </h3>
</div>
</div>
<div class="col-lg-6 align-items-stretch" data-aos="fade-up">
<div class="info-box">
<h3> Xiaodong Zhang (Publicity Chair)</h3>
<h3>(University of Chinese Academy of Sciences, China) </h3>
</div>
</div>
</div>
</div>
</section><!-- End Contact Us Section -->
<section id="contact_us" class="contact_us">
<div class="section-title">
<h2>Contact </h2>
<h3>For any question, curiosity or report, please do not hesitate to contact us
<a href="mailto:scttt@mail.ustc.edu.cn"> here</a>.</h3>
</div>
</section>
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