{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/123029"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/123029","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"An autonomous landing and charging system for drones","abstract":"A sensor-equipped consumer-grade drone can help collect data about the world. However, a drone's flight time today is measured in tens of minutes. Charging multiple drones in a network also requires manual assistance. In this thesis, we develop an integrated system with an autonomous charging pad that a drone can accurately land on. At the same time, the charging system allows the drone to land in environments with low visibility, especially during the nighttime. This research combined vision-based marker detection and flight control algorithms to create accurate landing procedures with different camera modules. Two charging platform designs of wireless and wired contact charging were built with the marker. The autonomous charging system enables a drone to land more accurately than the GPS-based navigation and gets charged without human assistance.","abstract_html":"A sensor-equipped consumer-grade drone can help collect data about the world. However, a drone's flight time today is measured in tens of minutes. Charging multiple drones in a network also requires manual assistance. In this thesis, we develop an integrated system with an autonomous charging pad that a drone can accurately land on. At the same time, the charging system allows the drone to land in environments with low visibility, especially during the nighttime. This research combined vision-based marker detection and flight control algorithms to create accurate landing procedures with different camera modules. Two charging platform designs of wireless and wired contact charging were built with the marker. The autonomous charging system enables a drone to land more accurately than the GPS-based navigation and gets charged without human assistance.","abstract_has_math":false,"creators":["Jiang, Ziwen,M.EngMassachusetts Institute of Technology."],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["Hari Balakrishnan."],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019","date_published":"2019","updated_at":"2026-07-22T22:22:31Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/123029","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Hari Balakrishnan."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","EECS"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Jiang, Ziwen,M.EngMassachusetts Institute of Technology."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-11-22T00:03:11Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2019-11-22T00:03:11Z"]},{"key":"dc:date.issued","label":"Date","values":["2019"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/1721.1/123029"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.","Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 69-71)."]},{"key":"dc:description.abstract","label":"Abstract","values":["A sensor-equipped consumer-grade drone can help collect data about the world. However, a drone's flight time today is measured in tens of minutes. Charging multiple drones in a network also requires manual assistance. In this thesis, we develop an integrated system with an autonomous charging pad that a drone can accurately land on. At the same time, the charging system allows the drone to land in environments with low visibility, especially during the nighttime. This research combined vision-based marker detection and flight control algorithms to create accurate landing procedures with different camera modules. Two charging platform designs of wireless and wired contact charging were built with the marker. The autonomous charging system enables a drone to land more accurately than the GPS-based navigation and gets charged without human assistance."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["An autonomous landing and charging system for drones"]}]}],"canonical_facts":{"dc:contributor.advisor":["Hari Balakrishnan."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","EECS"],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Jiang, Ziwen,M.EngMassachusetts Institute of Technology."],"dc:date.accessioned":["2019-11-22T00:03:11Z"],"dc:date.available":["2019-11-22T00:03:11Z"],"dc:date.issued":["2019"],"dc:description":["This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.","Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019","Cataloged from student-submitted PDF version of thesis.","Includes bibliographical references (pages 69-71)."],"dc:description.abstract":["A sensor-equipped consumer-grade drone can help collect data about the world. However, a drone's flight time today is measured in tens of minutes. Charging multiple drones in a network also requires manual assistance. In this thesis, we develop an integrated system with an autonomous charging pad that a drone can accurately land on. At the same time, the charging system allows the drone to land in environments with low visibility, especially during the nighttime. This research combined vision-based marker detection and flight control algorithms to create accurate landing procedures with different camera modules. Two charging platform designs of wireless and wired contact charging were built with the marker. The autonomous charging system enables a drone to land more accurately than the GPS-based navigation and gets charged without human assistance."],"dc:description.degree":["M. Eng."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/123029"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["An autonomous landing and charging system for drones"],"dc:type":["Thesis"],"thesis:degree_name":["Master"]},"updated_at":"2026-07-22T22:22:31Z"}