Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey

Laurent Kloeker, Tobias Moers, Lennart Vater, A. Zlocki, L. Eckstein
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引用次数: 2

Abstract

The number of existing UAVs in the private and commercial sector has steadily increased in recent years and is expected to experience strong growth in the future. However, so far there is little research on the use of UAVs in connection with automated driving. In this paper, we first analyze existing research and the current state of the art in the use of UAVs in the transport sector. Then we list possible potentials how UAVs can be used in the field of automated driving. We focus on the four sub-areas of the transport sector a) surveillance, b) road user detection and tracking, c) wireless communication and V2X and d) infrastructure mapping. The elaborations show that the use of UAVs in all four sub-areas can contribute significantly to enable and safeguard automated driving. In sub-area a), UAVs for example can support intelligent parking space monitoring and enable functions such as automated valet parking. In sub-area b), UAVs are particularly suitable for collecting naturalistic trajectories of road users, which are stored as datasets and serve to develop and safeguard automated driving functions. By using UAVs in sub-area c), long distances can be bridged and new, previously unattainable areas can be made accessible for communication applications. Finally, UAVs can also be used in sub-area d) to easily map new areas or to improve and continuously update existing digital HD maps. It has been further shown in literature that UAVs are partly superior to conventional vehicle environment perception methods due to their low cost factor, their ease of use and especially due to their comparatively large area of sensor coverage.
无人驾驶飞行器(uav)在自动驾驶领域的应用与潜力综述
近年来,私人和商业部门现有无人机的数量稳步增加,预计未来将出现强劲增长。然而,到目前为止,关于无人机在自动驾驶中的应用的研究很少。在本文中,我们首先分析了在运输部门使用无人机的现有研究和现状。然后,我们列出了无人机在自动驾驶领域的潜在应用。我们专注于交通部门的四个子领域:a)监控,b)道路使用者检测和跟踪,c)无线通信和V2X以及d)基础设施测绘。详细说明表明,在所有四个子领域使用无人机可以为实现和保护自动驾驶做出重大贡献。在子区域a)中,以无人机为例,可以支持智能车位监控,实现自动代客泊车等功能。在子区域b)中,无人机特别适合收集道路使用者的自然轨迹,这些轨迹被存储为数据集,用于开发和维护自动驾驶功能。通过在子区域c)中使用无人机,可以跨越长距离,并且可以为通信应用提供以前无法到达的新区域。最后,无人机也可用于子区域d),方便地绘制新区域或改进和不断更新现有的数字高清地图。文献进一步表明,无人机的成本低,使用方便,特别是传感器覆盖面积较大,在一定程度上优于传统的车辆环境感知方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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