The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Sep 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 2; 2025: 0; 2026: 1.
3 papers.
- 2026Last-Meter Precision Navigation for UAVs: A Diffusion-Refined Aerial Visual Servoing Approachcited by 3
- 2024Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systemscited by 1
- 2024Reinforcement Learning with Lie Group Orientations for Roboticscited by 1
- 2026Last-Meter Precision Navigation for UAVs: A Diffusion-Refined Aerial Visual Servoing Approach5 Jul 2026
- 2024Reinforcement Learning with Lie Group Orientations for Robotics18 Sep 2024
- 2024Why Change Your Controller When You Can Change Your Planner: Drag-Aware Trajectory Generation for Quadrotor Systems10 Jan 2024