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This technology not only reliably captures environmental data across diverse conditions but also enables cross-sensor data complementarity. To address the fusion deviation resulting from changes in sensor performance due to environmental variations, this paper proposes a multi-source information fusion system utilizing the Sage-Husa adaptive extended Kalman filtering (SHAEKF) algorithm. First, we construct a multi-source information fusion system grounded in vehicle motion models. Then, a fading factor is incorporated into the SHAEKF algorithm, such that the estimation error is effectively reduced and the risk of filter divergence is mitigated. Finally, a dynamic threshold fault-tolerance module is proposed based on Euclidean distance and motion equations to identify and eliminate erroneous sensor information. Based on a series of simulation experiments, the improved SHAEKF algorithm demonstrates higher estimation accuracy and robustness than the original SHAEKF algorithm.<\/jats:p>","DOI":"10.1177\/01423312251340565","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T05:35:46Z","timestamp":1752125746000},"page":"2483-2492","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Intelligent driving multi-source information fusion fault-tolerant system based on an improved Sage-Husa adaptive extended Kalman filter"],"prefix":"10.1177","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1601-7846","authenticated-orcid":false,"given":"Yibo","family":"Meng","sequence":"first","affiliation":[{"name":"State Key Laboratory of High-Efficiency and High-Quality Conversion for Electric Power, Hefei University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huifang","family":"Kong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of High-Efficiency and High-Quality Conversion for Electric Power, Hefei University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xincheng","family":"Sun","sequence":"additional","affiliation":[{"name":"State Key Laboratory of High-Efficiency and High-Quality Conversion for Electric Power, Hefei University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,7,9]]},"reference":[{"key":"e_1_3_2_2_1","first-page":"1","article-title":"Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors","volume":"99","author":"Arnold E","year":"2020","unstructured":"Arnold E, Dianati M, de Temple R, et al. 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