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MtroCAD 2021: International Conference on Connected and Autonomous Driving

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MtroCAD
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截稿日期:
2021-01-24 Extended
通知日期:
2021-02-26
会议日期:
2021-04-29
会议地点:
Detroit, Michigan, USA
届数:
4
浏览: 10868   关注: 0   参加: 0

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会议传承 (20%)
43
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8
资料公开度 (15%)
25

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置信度 45% —— 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 2026-08-31

征稿

MtroCAD 2021 (International Conference on Connected and Autonomous Driving) is an academic conference held in Detroit, Michigan, USA on 2021-04-29. The paper submission deadline is 2021-01-24 (extended). Acceptance notifications are sent on 2021-02-26.

With the burgeoning of Edge Computing and 5G technologies, we envision future vehicles will serve as a computing platform for a variety of services such as autonomous driving, remote real-time diagnostics, on-board entertainment, and a variety of third-party services, such as public safety. To realize the vision of connected and autonomous driving, researchers and practitioners in the community have to address several challenges, such as communication systems, data analytics platforms, novel algorithms and applications, security, to name a few. The Fourth International Conference on Connected and Autonomous Driving aims to bring together the researchers and practitioners on connected cars, autonomous driving, transportation systems and ride-sharing platforms to address core challenges with vehicle connectivity and autonomous driving. The conference will include invited speakers, panels, paper presentations, tutorials, and real-vehicle demos. The goal is to discuss and exchange ideas in this area and stimulate the collaboration between academia and industry partners. The topics include, but are not limited to: Perception, localization, mapping, planning and control, action prediction for autonomous driving. Consumer services, include Internet- and cloud-based digital services that add to the driving experience. Connected Vehicle packages, using advanced features to improve or help manage the car’s operation and autonomous driving. Connected vehicle data operations of various data sources and latency requirements. Artificial Intelligence approaches for control and coordination of traffic leveraging V2V and V2X infrastructures. Security, privacy, ethics, human interaction related with autonomous driving Enabling technologies for Autonomous Driving. Social and human impact of CAVs.
由 Dou Sun 最后更新于

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