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The commonly used object detection network is too large and can only be realized in real-time on a high-performance server. Based on YOLOv3-tiny, the feature extraction was realized using light-weighted networks such as DarkNet-19 and ResNet-18 to improve accuracy. The K-means algorithm was used to cluster nine anchor boxes to achieve multi-scale prediction, especially for small targets. For automotive applicable scenarios, the proposed vehicle detection network was executed in an embedded device. The KITTI data sets were trained and tested. Experimental results show that the average accuracy is improved by 14.09% compared with the traditional YOLOv3-tiny, reaching 93.66%, and can reach 13\u2009fps on the embedded device. <\/jats:p>","DOI":"10.1177\/15501329221080665","type":"journal-article","created":{"date-parts":[[2022,3,12]],"date-time":"2022-03-12T12:56:15Z","timestamp":1647089775000},"page":"155013292210806","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":16,"title":["Light-weighted vehicle detection network based on improved YOLOv3-tiny"],"prefix":"10.1177","volume":"18","author":[{"given":"Pingshu","family":"Ge","sequence":"first","affiliation":[{"name":"College of Mechanical & Electronic Engineering, Dalian Minzu University, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6823-5488","authenticated-orcid":false,"given":"Lie","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Automotive Engineering, Dalian University of Technology, Dalian, China"},{"name":"Ningbo Institute of Dalian University of Technology, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danni","family":"He","sequence":"additional","affiliation":[{"name":"School of Automotive Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liang","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Automotive Engineering, Dalian University of Technology, Dalian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,3,12]]},"reference":[{"key":"bibr1-15501329221080665","unstructured":"National Bureau of Statistics of the People\u2019s Republic of China. 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