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Acoustic localization of drones in precise landing: The research and practice with micnest
Tsinghua Univ, Beijing, Peoples R China..
Tsinghua Univ, Beijing, Peoples R China.;Tsinghua Univ, Sch Software, Beijing, Peoples R China.;Tsinghua Univ, BNRist, Beijing, Peoples R China..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Electrical Engineering, Networked Embedded Systems. Politecn Milan, Milan, Italy.;RI SE, Gothenburg, Sweden..ORCID iD: 0000-0003-4560-9541
Tsinghua Univ, Beijing, Peoples R China..
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2023 (English)In: GetMobile: Mobile Computing and Communications, ISSN 2375-0529, E-ISSN 2375-0537, Vol. 27, no 3, p. 27-32Article in journal, Editorial material (Other academic) Published
Abstract [en]

Delivery drones have the potential to revolutionize transportation and distribution of goods. With their autonomous navigation capabilities, they offer an efficient solution to bypass the challenges posed by complex urban traffic and enable instant package delivery. Many industrial firms are actively exploring the commercial feasibility of instant drone deliveries. Meituan, one of the largest companies in this area, devised a systematic approach to instant delivery using drones. The process begins with loading the package onto the drone, which then takes off, ascends to cruising altitude, and sets a direct course towards the designated destination. Typically, this destination is a Meituan-operated self-collection station located near the customer.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023. Vol. 27, no 3, p. 27-32
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Transport Systems and Logistics
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URN: urn:nbn:se:uu:diva-518801DOI: 10.1145/3631588.3631597ISI: 001098192800006OAI: oai:DiVA.org:uu-518801DiVA, id: diva2:1822501
Available from: 2023-12-22 Created: 2023-12-22 Last updated: 2023-12-22Bibliographically approved

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Mottola, Luca

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