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First, a self-leveling landing platform on a mobile unmanned ground vehicle (UGV) is designed, which can be maintained even when the UGV moves on uneven terrain. Then, with the cooperation of the UAV and the UGV, they are controlled to reach the same velocity in the horizontal direction, which helps avoid the UAV\u2019s rollover caused by horizontal velocity difference. Meanwhile, a buffering strategy is designed to reduce the vertical velocity difference, which helps avoid a hard landing. Finally, a combined landing code is designed to improve the accuracy and success rate of UAV landing. Experiments are carried out to demonstrate the effectiveness of the proposed design of a self-leveling platform and autonomous landing strategies.<\/jats:p>","DOI":"10.1177\/09596518241237568","type":"journal-article","created":{"date-parts":[[2024,3,22]],"date-time":"2024-03-22T05:33:30Z","timestamp":1711085610000},"page":"1425-1436","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Design of air-ground cooperative landing platform and autonomous landing strategy"],"prefix":"10.1177","volume":"238","author":[{"given":"Liangang","family":"Song","sequence":"first","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2207-2294","authenticated-orcid":false,"given":"Hong","family":"Lin","sequence":"additional","affiliation":[{"name":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanhua","family":"Fu","sequence":"additional","affiliation":[{"name":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yehao","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Intelligence Science and Engineering, Shenzhen Polytechnic University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0639-4437","authenticated-orcid":false,"given":"Chenxiao","family":"Cai","sequence":"additional","affiliation":[{"name":"School of Automation, Nanjing University of Science and Technology, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2024,3,22]]},"reference":[{"key":"bibr1-09596518241237568","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-022-01756-4"},{"key":"bibr2-09596518241237568","doi-asserted-by":"publisher","DOI":"10.1177\/09596518231158681"},{"key":"bibr3-09596518241237568","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000567"},{"key":"bibr4-09596518241237568","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3052542"},{"key":"bibr5-09596518241237568","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2020.3012492"},{"key":"bibr6-09596518241237568","doi-asserted-by":"crossref","unstructured":"Akhloufi M, Castro N, Couturier A. 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