会议信息

AVS 2024: IEEE International Symposium on Autonomous Vehicle Software

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截稿日期:
2024-04-05
通知日期:
2024-05-06
会议日期:
2024-07-01
会议地点:
Cambridge, UK
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会伴指数 (CP-I)

42.1 / 100
全站第 4,158 名 / 共 5,693 个会议 · 前 74%

软件工程 第 212 / 247 机器人与控制 第 304 / 470

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

AVS 2024 (IEEE International Symposium on Autonomous Vehicle Software) is an academic conference held in Cambridge, UK on 2024-07-01. The paper submission deadline is 2024-04-05. Acceptance notifications are sent on 2024-05-06.

The IEEE International Symposium on Autonomous Vehicle Software (AVS 2024) creates a unique venue for the researchers, engineers, industry players and policy makers to present the latest advancements and innovations in the theoretical research, open source projects, software applications and regulation work in the autonomous vehicle software. AVS 2024 features keynote ad- dresses by eminent scientists from both academia and industry. All research papers will be peer reviewed on the basis of a full length manuscript and acceptance will be based on quality, originality and relevance. IEEE Conference Publishing Services (CPS) will publish the proceedings. Accepted papers will also be submitted for inclusion in the IEEE Xplore and to other abstracting and indexing partners such as the Ei Compendex. Selected papers of top quality will be published in a special section of IEEE Transactions on Reliability instead of the conference proceedings. This will speed up the journal publication of these papers. Topics The topics of interests in this special issue include, but are not limited to: · Autonomous vehicle software vulnerability assessment, risk analysis, attack and threat models · Autonomous vehicle software reliability · Safe design and implementation of autonomous vehicle software and applications for autonomous vehicles · Autonomous vehicle operating system security · Autonomous vehicle embodied intelligence · Availability, resiliency and fault tolerance in autonomous vehicle software · Autonomous vehicle software testing, verification and validation · Autonomous vehicle software quality evaluation methodologies and metrics · Autonomous vehicle software forensics, events monitoring and auditing · Autonomous vehicle software standardization, certification, and interoperability · Secure intra-vehicle, vehicle-to-vehicle, and other vehicular network communications · Testing of machine learning components for autonomous vehicles · Practical experiences, empirical studies, and testbeds for autonomous vehicle software · Industrial experiences and best practices for autonomous vehicle software development · Program synthesis for autonomous vehicle software · Intelligent interaction in self-driving · Self-driving environment perception, machine vision
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