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Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities
arXiv - CS - Hardware Architecture Pub Date : 2021-03-03 , DOI: arxiv-2103.02176
Shaoshan Liu, Bo Yu, Jie Tang, Qi Zhu

The infrastructure-vehicle cooperative autonomous driving approach depends 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 approach. In this paper, we introduce our real-world deployment experiences of cooperative autonomous driving, and delve into the details of new challenges and opportunities. Specifically, based on our progress towards commercial deployment, we follow a three-stage development roadmap of the cooperative autonomous driving approach:infrastructure-augmented autonomous driving (IAAD), infrastructure-guided autonomous driving (IGAD), and infrastructure-planned autonomous driving (IPAD).

中文翻译:

通过基础设施-车辆协作自动驾驶实现完全智能交通:挑战与机遇

基础设施-车辆协同自动驾驶方法取决于智能道路与智能车辆之间的协作。与传统的仅在车辆上进行自动驾驶的方法相比,这种方法不仅更安全,而且更经济。在本文中,我们将介绍我们在协作自动驾驶方面的实际部署经验,并深入研究新挑战和机遇的细节。具体而言,基于我们在商业部署方面的进展,我们遵循了协作式自动驾驶方法的三个阶段的发展路线图:基础设施增强自动驾驶(IAAD),基础设施指导自动驾驶(IGAD)和基础设施计划自动驾驶( IPAD)。
更新日期:2021-03-04
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