重要信息
会议时间：2024年6月7-9日
召开地点：（线上）
截稿时间：2024年5月25日
录用通知：投稿后2周内
收录检索：EI,Scopus
★2024年车联网与自动驾驶车辆国际会议(SoCAV 2024)由重庆邮电大学和国际电气、电子与能源工程协会（IAEEEE）联合主办，会议将围绕“车联网与自动驾驶车辆”的研究领域而展开，为研究人员、工程师和学者，以及行业专业人士提供一个交流和分享最新研究成果的平台。欢迎广大学者踊跃投稿和参会，期待与您在深圳相见。
本次会议将于2024年6月7－9日在线召开，在会议期间您将有机会聆听到前沿的学术报告，见证该领域的成果与进步。
Keynote Speaker
Professor Mehrdad Dianati
Queen's University of Belfast
Biography: Mehrdad Dianati is a professor of Connected and Autonomous Systems at the Queen’s University of Belfast. He is also a part-time professor of Intelligent Vehicles at the University of Warwick, where he was the Head of the Intelligent Vehicles Research Department and the Technical Research Lead in Networked Intelligent Systems at the Warwick Manufacturing Group (WMG), the University of Warwick, UK. He also served as the Director of Warwick's Centre for Doctoral Training on Future Mobility Technologies, training doctoral researchers in intelligent and electrified mobility systems in collaboration with the experts in the field of electrification from the Department of Engineering of the University of Warwick. He was a Fellow of the Alan Turing Institute from 2021 to 2023. He is currently the Field Chief Editor of Frontiers in Future Transportation. His research focuses on the application of Digital Technologies (Information and Communication Technologies and Artificial intelligence) for the development of future mobility and transport systems. He has over 30 years of combined industrial and academic experience, with 20 years in various leadership roles in multi-disciplinary collaborative R&D projects. He works closely with the automotive and ICT industries, which are the primary application domains of his research. In the past, he has served as an Editor for the IEEE Transactions on Vehicular Technology and several other international journals, including IET Communications.
Speech Title: Trustworthy AI for Autonomous Vehicles
Abstract: Modern vehicles are increasingly becoming complex, intelligent systems that use various digital technologies and AI to offer smart features such as automated driving, smart/adaptive infotainment, and maintenance/support in full integration with the offboard digital infrastructures. These features provide higher levels of automation to relieve the human driver from tedious tasks and improve vehicle safety and efficiency. However, as the automation level increases, gaining the trust of the users and other stakeholders in the underlying technologies becomes increasingly complex and crucial for the successful adoption of future intelligent vehicles. Trust is a multifaceted concept, one of them being resilience, i.e., the system’s ability to operate safely when something goes wrong. A crucial enabler of resilience is automated integrity monitoring to recognize internal system faults or unacceptable performance by various system elements due to external factors. To this end, the focus of this presentation is on automated integrity monitoring for AI systems in Intelligent Vehicles, elaboration of its challenges and the discussion of the potential approaches that can be adopted in intelligent vehicles.
关于出版和索引：
所有注册并发表的文章将会收录到会议论文集中，并提交 EI Compendex, Scopus, Thomson Reuters (WoS), Inspec检索，优秀论文将在国际期刊上发表，热忱地欢迎从事相关技术研究的各专业技术人员踊跃投稿并参加大会。
征稿主题/会议征稿：
CAV的人工智能和机器学习、汽车网络安全、责任和隐私、汽车物联网、自动驾驶、CAV和弱势道路使用者、CAV、自动、联网、传统和传统车辆共存、计算机辅助建模、仿真、验证、连接和自动车辆安全应用、深入学习、自动驾驶车辆的情绪检测、现场试验、自动驾驶中的正式方法和模型检查、人因、人机界面和人机交互......
更多征稿主题请访问： http://www.socav.org/cfp
参会方式
1.作者参会：一篇会议录用文章允许一名作者参会；
2.主讲嘉宾：申请主题演讲，由会务组审核；
3.口头演讲：申请口头报告，时间为15分钟；
4.海报参会：申请海报参会，根据官网模板准备海报，再录制5分钟视频；
5.听众参会：不投稿仅参会，可参与问答，也可演讲及展示。
投稿方式
CMT在线投稿：https://cmt3.research.microsoft.com/SOCAV2024
请作者按照官网模板格式进行排版。排版好的论文全文（word+pdf版）发送至CMT在线系统。
提交摘要：即只参会做报告，不出版文章；
提交全文：即做参会做报告，并且出版文章；
听众：则不需要提交稿件，注册成功的听众可以参加会议的所有分会；
投稿注意事项：
1. 大会官方语言为英语，必须为全英文稿件，且应具有学术或实用价值，未在国内外学术期刊或会议发表过；
2. 保证文章原创性，未在国内外公开刊物或其它学术会议上发表过。
3. 文章篇幅一般在5-12页之间，不少于5页，含公式图表等，超过5页将收取超页费；
4. 作者可通过Turnitin或其他查询系统自费查重，重复率不得超过20%，由文章重复率引起的被拒稿将由作者自行承担责任；
5.文章录用：若您的文章被录用，我们将以邮件形式通知您，您将收到以下文件：录用通知、审稿意见表、中文注册表。
联系方式：
会议秘书：Luna. C. Ko
会议官网：www.socav.org
会议邮箱： email@socav.org
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