城市最后一公里问题：自主无人机送货到您的阳台
The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony
AI总结：
本文提出了一种基于商用无人机的城市最后一公里自主送货方法，通过GPS定位和视觉导航实现对阳台或门廊等非集中地点的精准配送，并开源代码以促进未来研究。
摘要：
无人机送货在过去几年中已成为行业热点。然而，现有方法要么专注于农村地区，要么依赖于集中式配送点来执行最后一公里配送。在本文中，我们使用商用无人机解决城市环境中自主最后一公里配送的问题。我们构建了一个原型系统，该系统能够利用GPS飞向近似配送位置，然后使用视觉导航找到精确的配送位置。配送位置可能例如在阳台或门廊上，并且只需在墙上或窗户上用视觉标记指示即可。我们测试了我们的系统组件在模拟环境中的表现，包括视觉导航和避障。最后，我们在现实环境中部署了我们的无人机，并展示了它如何在阳台上找到配送点。为了促进该主题的未来研究，我们开源了我们的代码。
英文摘要：
Drone delivery has been a hot topic in the industry in the past few years. However, existing approaches either focus on rural areas or rely on centralized drop-off locations from where the last mile delivery is performed. In this paper we tackle the problem of autonomous last mile delivery in urban environments using an off-the-shelf drone. We build a prototype system that is able to fly to the approximate delivery location using GPS and then find the exact drop-off location using visual navigation. The drop-off location could, e.g., be on a balcony or porch, and simply needs to be indicated by a visual marker on the wall or window. We test our system components in simulated environments, including the visual navigation and collision avoidance. Finally, we deploy our drone in a real-world environment and show how it can find the drop-off point on a balcony. To stimulate future research in this topic we open source our code.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
