Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
复制标题
受邀：基车协同自动驾驶迈向全智能交通：挑战与机遇
DOI：
10.1109/dac18074.2021.9586317
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Q. Zhu
中科院分区：
文献类型：
--
作者：
Shaoshan Liu;Bo Yu;Jie Tang;Q. Zhu
基础设施 - 车辆合作驾驶方法依赖于智能道路与智能车辆之间的合作。与传统的仅限车辆自动驾驶相比，这种方法不仅更安全，而且更经济。在本文中，我们介绍了Conceptin的基础架构 - 车辆合作自动驾驶的现实部署经验，在该驾驶中进行了三阶段的开发路线图：基础架构的自主驾驶（IAAD），基础架构引导的自动驾驶自动驾驶自动驾驶（IGAD），（IGAD）和基础设施计划的自主驾驶（iPad）。然后，我们讨论未来的研究挑战和这种方法的机会。
The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach is not only safer but also more economical compared to the traditional on-vehicle-only autonomous driving. In this paper, we introduce the real-world deployment experiences of infrastructure-vehicle cooperative autonomous driving by PerceptIn, where a three-stage development roadmap is taken: infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD). We then discuss the future research challenges and opportunities for such approach.
影响因子：
3.1
作者：
Liu, Shaoshan;Gaudiot, Jean-Luc
通讯作者：
Gaudiot, Jean-Luc