Package Delivery Using Autonomous Drones in Skyways
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Abstract (arXiv)
Current drone delivery systems mostly focus on point-to-point package delivery. We present a multi-stop drone service system to deliver packages anywhere anytime within a specified geographic area. We define a skyway network which takes into account flying regulations, including restricted areas and no-fly zones. The skyway nodes typically represent building rooftops which may act as both recharging stations and delivery destinations. A heuristic-based A* algorithm is used to compute an optimal path from source to destination taking into account a number of constraints, including delivery time, availability of recharging stations, etc. We deploy our drone delivery system in an indoor testbed environment using a 3D model of Sydney CBD. We describe a graphical user interface to monitor the real-time package delivery in the skyway network.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Aug 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2022Visual-based Safe Landing for UAVs in Populated Areas: Real-time Validation in Virtual Environmentscited by 2
- 2023Heuristic Search for Path Finding with Refuellingcited by 0
- 2026Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Controlcited by 0
- 2026Hybrid Neural Network and Conventional Controller Approach for Robust Control of Highly Unstable Systems: Application to Tilt-Rotor Control7 Jun 2026
- 2023Heuristic Search for Path Finding with Refuelling19 Sep 2023
- 2022Visual-based Safe Landing for UAVs in Populated Areas: Real-time Validation in Virtual Environments25 Mar 2022