Abstract
The advent of the internet and fast-processing computers have enabled drones to fly autonomously for a variety of applications. Most of the research focuses on horizontal trajectory planning and mapping for autonomous navigation. In this study, we propose a method to address the urban last-mile drone delivery problem. The paper suggests an autonomous vertical trajectory scanning method that could be used to analyse the appropriate level and unit in an apartment building. The QR code embedded with the level and unit number information is used as a marker that can be detected by the drone’s visual recognition framework. The suggested method aims to conduct real-time detection of the apartment at every level using consistent trajectory tracking. The experiments are tested indoors for 3 levels and 10 unique QR codes, comparing with 4 different trajectory planning patterns to analyse the most efficient trajectory. The parallel path is observed to be the most optimum for maximum area coverage and the quickest arrival to the desired destination.
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References
Ahmed, F., et al.: Recent Advances in Unmanned Aerial Vehicles: A Review. Arab. J. Sci. Eng., 1–22 (2022)
Quan, L., et al.: Survey of UAV motion planning. IET Cyber‐Syst. Rob. 2(1), 14–21 (2020)
Cabreira, T.M., Brisolara, L.B., Ferreira Jr Paulo, R.: Survey on coverage path planning with unmanned aerial vehicles. Drones 3(1), 4 (2019)
Benarbia, T., Kyamakya, K.: A literature review of drone-based package delivery logistics systems and their implementation feasibility. Sustainability 14(1), 360 (2021)
Xie, W., Chen, C., Sithipolvanichgul, J.: Understanding e-commerce customer behaviors to use drone delivery services: a privacy calculus view. Cogent Bus. Manag. 9(1), 2102791 (2022)
Perreault, M., Behdinan, K.: Delivery drone driving cycle. IEEE Trans. Veh. Technol. 70(2), 1146–1156 (2021)
Wang, C., et al.: On optimizing a multi-mode last-mile parcel delivery system with vans, truck and drone. Electronics 10(20), 2510 (2021)
Choi, Y., Schonfeld, P.M.: A comparison of optimized deliveries by drone and truck. Transp. Plan. Technol. 44(3), 319–336 (2021)
Rodrigues, T.A., et al.: In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery. Sci. Data 8(1), 1–8 (2021)
Ullah, F., et al.: Advertising through UAVs: optimized path system for delivering smart real‐estate advertisement materials. Int. J. Intell. Syst. 36(7), 3429–3463 (2021)
Brunner, G., et al.: The urban last mile problem: Autonomous drone delivery to your balcony. In: 2019 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE (2019)
Chen, K.-W., et al.: DroneTalk: an internet-of-things-based drone system for last-mile drone delivery. IEEE Trans. Intell. Transp. Syst. (2022)
Deutsche Post DHL Group: DHL’S PARCELCOPTER: CHANGING SHIPPING FOREVER, 30 October 2022. https://www.dhl.com/discover/en-my/business/business-ethics/parcelcopter-drone-technology
Kim, S.-H., et al.: Design and flight tests of a drone for delivery service. J. Inst. Control Rob. Syst. 22(3), 204–209 (2016)
Deaconu, A.M., Udroiu, R., Nanau, C.-Ş.: Algorithms for delivery of data by drones in an isolated area divided into squares. Sensors 21(16), 5472 (2021)
Xu, L., Kamat, V.R., Menassa, C.C.: Automatic extraction of 1D bar-codes from video scans for drone-assisted inventory management in warehousing applications. Int. J. Log. Res. Appl. 21(3), 243–258 (2018)
Mukkirwar, R., Nandini, R., Tembhurde, P., Bhagat, R.: Real-time barcode detection from streamlined video from a drone. In: Kumar, R., Dohare, R. K., Dubey, H., Singh, V. P. (eds.) Applications of Advanced Computing in Systems. AIS, pp. 241–246. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4862-2_26
Gago, R.M., Pereira, M.Y.A., Pereira, G.A.S.: An aerial robot-ic system for inventory of stockpile warehouses. Eng. Rep. 3(9), e12396 (2021)
Radácsi, L., et al.: A path planning model for stock inventory using a drone. Mathematics 10(16), 2899 (2022)
Macrina, G., et al.: Drone-aided routing: a literature review. Transp. Res. Part C Emerging Technol. 120, 102762 (2020)
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Seth, A., James, A., Kuantama, E., Mukhopadhyay, S., Han, R. (2023). Vertical Trajectory Analysis Using QR Code Detection for Drone Delivery Application. In: Suryadevara, N.K., George, B., Jayasundera, K.P., Mukhopadhyay, S.C. (eds) Sensing Technology. ICST 2022. Lecture Notes in Electrical Engineering, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-031-29871-4_48
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DOI: https://doi.org/10.1007/978-3-031-29871-4_48
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