{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:23:58Z","timestamp":1759332238652,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T00:00:00Z","timestamp":1705622400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,1,19]]},"DOI":"10.1145\/3674225.3674389","type":"proceedings-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T18:23:05Z","timestamp":1722450185000},"page":"912-918","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Environment Perception of Autonomous Vehicle Based on Internet of Things Using Mask R-CNN: Multi Environment Adaptability"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1292-1440","authenticated-orcid":false,"given":"YuShui","family":"Xiao","sequence":"first","affiliation":[{"name":"Jiangsu Business Intelligence Application Engineering Technology Research and Development Centre, Wuxi Vocational Institute of Commerce, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1464-2930","authenticated-orcid":false,"given":"Yucheng","family":"Dong","sequence":"additional","affiliation":[{"name":"Wuxi Vocational Institute of Commerce, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7,31]]},"reference":[{"issue":"6","key":"e_1_3_2_1_1_1","first-page":"128","article-title":"status and prospects of unmanned environmental perception technology in mines [J].","volume":"49","author":"Qingsong Hu","year":"2023","unstructured":"Hu Qingsong, Meng Chunlei, Li Shiyin, Sun Yanjing.Research status and prospects of unmanned environmental perception technology in mines [J].Industrial and Mining Automation, 2023, 49(6):128-140","journal-title":"Industrial and Mining Automation"},{"issue":"10","key":"e_1_3_2_1_2_1","first-page":"1377","article-title":"sample generation method for on-board environmental perception system [J].","volume":"50","author":"Shize Huang","year":"2022","unstructured":"Huang Shize, Zhang Zhaoxin, Dong Decun, Qin Jinzhe.Confrontation sample generation method for on-board environmental perception system [J].Journal of Tongji University: Natural Science Edition, 2022, 50(10):1377-1384","journal-title":"Journal of Tongji University: Natural Science Edition"},{"issue":"4","key":"e_1_3_2_1_3_1","first-page":"21","article-title":"perception based on ultrasonic TOA[J].","volume":"50","author":"Gang Wang","year":"2023","unstructured":"Wang Gang, Zhang Wenjing, Qiu Wenhao.Environmental perception based on ultrasonic TOA[J].Journal of Hunan University: Natural Science Edition, 2023, 50(4):21-30","journal-title":"Journal of Hunan University: Natural Science Edition"},{"issue":"1","key":"e_1_3_2_1_4_1","first-page":"47","article-title":"detection of transmission line insulators based on improved mask area convolutional neural network [J].","volume":"38","author":"Junnian Gou","year":"2023","unstructured":"Gou Junnian, Du Susu, Liu Li.Self-detonation detection of transmission line insulators based on improved mask area convolutional neural network [J].Journal of Electrotechnical Technology, 2023, 38(1):47-59","journal-title":"Journal of Electrotechnical Technology"},{"issue":"3","key":"e_1_3_2_1_5_1","first-page":"615","article-title":"Research on video SAR moving target detection algorithm based on improved fast regional convolutional neural network [J].","volume":"43","author":"He Yan","year":"2021","unstructured":"Yan He, Huang Jia, Li Ruian, Wang Xudong, Zhang Jindong, Zhu Daiyin. Research on video SAR moving target detection algorithm based on improved fast regional convolutional neural network [J].Journal of Electronics and Information, 2021, 43(3):615-622","journal-title":"Journal of Electronics and Information"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.38094\/jastt302134"},{"issue":"5","key":"e_1_3_2_1_7_1","first-page":"1065","article-title":"secret sharing scheme based on regional convolutional neural Network [J].","volume":"58","author":"Yanxiao Liu","year":"2021","unstructured":"Liu Yanxiao, Wu Ping, Sun Qindong.Image secret sharing scheme based on regional convolutional neural Network [J].Computer Research and Development, 2021, 58(5):1065-1074","journal-title":"Computer Research and Development"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/arp.1806"},{"issue":"6","key":"e_1_3_2_1_9_1","first-page":"63","article-title":"disease instance segmentation based on improved mask-region convolutional neural network [J].","volume":"53","author":"Caiping Huang","year":"2023","unstructured":"Huang Caiping, Xie Xin, Zhou Yongkang, Li Guilong.Concrete disease instance segmentation based on improved mask-region convolutional neural network [J].Bridge Construction, 2023, 53(6):63-70","journal-title":"Bridge Construction"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-213031"},{"issue":"10","key":"e_1_3_2_1_11_1","first-page":"1832","article-title":"ship recognition based on faster regional convolutional neural network [J].","volume":"44","author":"Jing Cheng","year":"2023","unstructured":"Cheng Jing, Wang Rongjie, Zeng Guangmiao, Lin Anhui, Wang Yichun.Multi-view ship recognition based on faster regional convolutional neural network [J].Journal of Harbin Engineering University, 2023, 44(10):1832-1840","journal-title":"Journal of Harbin Engineering University"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.11591\/ijece.v13i5.pp5662-5673"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13216-0"}],"event":{"name":"PEAI 2024: 2024 International Conference on Power Electronics and Artificial Intelligence","acronym":"PEAI 2024","location":"Xiamen China"},"container-title":["2024 International Conference on Power Electronics and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674389","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674225.3674389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:06:03Z","timestamp":1750291563000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674225.3674389"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,19]]},"references-count":13,"alternative-id":["10.1145\/3674225.3674389","10.1145\/3674225"],"URL":"https:\/\/doi.org\/10.1145\/3674225.3674389","relation":{},"subject":[],"published":{"date-parts":[[2024,1,19]]},"assertion":[{"value":"2024-07-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}