{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T17:26:01Z","timestamp":1770139561036,"version":"3.49.0"},"reference-count":12,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2021,11,4]]},"abstract":"<jats:p>With the fast development, Internet technology has become a game-changer to the automotive industry. The advances and general applications of high-precision maps make it possible for accurate real-time positioning of vehicles. Meanwhile, the extensive applications of intelligent driving technology make it easier and more intelligent to drive vehicles. This paper reviewed the application of artificial intelligence (AI) in the field of autonomous driving comprehensively and explored the innovative studies of other unmanned motion systems at the same time. Firstly, the hardware architecture of the autonomous driving system is introduced, including five modules as follows: sensing, autonomous driving computer, power supply, signal communication, execution and braking. In addition, General Motors autonomous vehicle is used as an example to introduce its differences from the traditional vehicles in the hardware part. Subsequently, the autonomous driving software is divided into four modules according to functions: positioning, sensing, planning, and control, and the innovative application of artificial intelligence algorithms is introduced. Finally, this paper expands from autonomous driving technology and puts forward an innovative research idea for the intelligent unmanned system.<\/jats:p>","DOI":"10.3233\/jifs-189982","type":"journal-article","created":{"date-parts":[[2021,5,18]],"date-time":"2021-05-18T13:39:42Z","timestamp":1621345182000},"page":"4955-4964","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":19,"title":["Autonomous driving of vehicles based on artificial intelligence"],"prefix":"10.1177","volume":"41","author":[{"given":"Xianping","family":"Gao","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Hebei University of Technology, Tianjin, China"},{"name":"School of Automotive &amp; Transportation, Tianjin University of Technology &amp; Education, Tianjin, China"}]},{"given":"Xueliang","family":"Bian","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Hebei University of Technology, Tianjin, China"}]}],"member":"179","published-online":{"date-parts":[[2021,5,14]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2017.03.008"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2017.0266"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2017.3711644"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2410258"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2410258"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2822762"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2933601"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2017.05.007"},{"issue":"2","key":"e_1_3_1_10_2","first-page":"114","article-title":"Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods[J]","volume":"32","author":"Jin R.","year":"2019","unstructured":"JinR., LukK.D., CheungJ.P.Y., et al., Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods[J], NMR in Biomedicine32(2) (2019), 114\u2013120.","journal-title":"NMR in Biomedicine"},{"issue":"2","key":"e_1_3_1_11_2","first-page":"115","article-title":"Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity[J]","volume":"268","author":"Cheng S.","year":"2020","unstructured":"ChengS., LiL., ChenX., et al., Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity[J], Applied Energy268(2) (2020), 115\u2013124.","journal-title":"Applied Energy"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2940856"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2019.01.046"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189982","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-189982","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-189982","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T01:22:44Z","timestamp":1769995364000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-189982"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,14]]},"references-count":12,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,11,4]]}},"alternative-id":["10.3233\/JIFS-189982"],"URL":"https:\/\/doi.org\/10.3233\/jifs-189982","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,14]]}}}