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易受伤害道路使用者与自动驾驶车辆的交互:综述。

Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey.

机构信息

Computer Architecture Department, Polytechnic University of Catalonia, 08860 Barcelona, Spain.

Faculty of Telematics, University of Colima, Colima 28040, Mexico.

出版信息

Sensors (Basel). 2022 Jun 18;22(12):4614. doi: 10.3390/s22124614.

DOI:10.3390/s22124614
PMID:35746397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9229412/
Abstract

There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other hand, connected autonomous vehicles (CAVs) are a set of technologies that combines, on the one hand, communication technologies to stay always ubiquitous connected, and on the other hand, automated technologies to assist or replace the human driver during the driving process. Autonomous vehicles are being visualized as a viable alternative to solve road accidents providing a general safe environment for all the users on the road specifically to the most vulnerable. One of the problems facing autonomous vehicles is to generate mechanisms that facilitate their integration not only within the mobility environment, but also into the road society in a safe and efficient way. In this paper, we analyze and discuss how this integration can take place, reviewing the work that has been developed in recent years in each of the stages of the vehicle-human interaction, analyzing the challenges of vulnerable users and proposing solutions that contribute to solving these challenges.

摘要

在车辆交通生态系统中,有一群被称为“弱势道路使用者”(VRU)的用户。VRU 包括行人和骑自行车的人、骑摩托车的人等。另一方面,联网自动驾驶车辆(CAV)是一组技术,一方面结合了通信技术,以保持始终无处不在的连接,另一方面结合了自动化技术,在驾驶过程中协助或取代人类驾驶员。自动驾驶车辆被视为解决道路事故的一种可行替代方案,为道路上的所有用户提供了一个普遍安全的环境,特别是为最弱势的用户提供了一个普遍安全的环境。自动驾驶车辆面临的问题之一是生成便于其集成的机制,不仅要在移动环境中,而且要以安全和有效的方式融入道路社会。在本文中,我们分析和讨论了这种集成如何实现,回顾了近年来在车辆与人互动的各个阶段中开展的工作,分析了弱势用户面临的挑战,并提出了有助于解决这些挑战的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/9a4d9d255b5f/sensors-22-04614-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/050c918b3b9d/sensors-22-04614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/00058a91d9f7/sensors-22-04614-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/b46749ac3651/sensors-22-04614-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/ab7ef328bfa4/sensors-22-04614-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/c3fe4bf55d90/sensors-22-04614-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/1a4b7f172442/sensors-22-04614-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/ff49bdb2e51b/sensors-22-04614-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/9a4d9d255b5f/sensors-22-04614-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/050c918b3b9d/sensors-22-04614-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/00058a91d9f7/sensors-22-04614-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/b46749ac3651/sensors-22-04614-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/ab7ef328bfa4/sensors-22-04614-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/c3fe4bf55d90/sensors-22-04614-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/1a4b7f172442/sensors-22-04614-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/ff49bdb2e51b/sensors-22-04614-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e01a/9229412/9a4d9d255b5f/sensors-22-04614-g008.jpg

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