{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:59:56Z","timestamp":1777705196075,"version":"3.51.4"},"reference-count":19,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2024,1,10]]},"abstract":"<jats:p>The proliferation of artificial intelligence (AI) devices has generated an increasing demand for reliability in their utilization. Nevertheless, the significant concern persists regarding the absence of suitable assessment and testing techniques to evaluate the performance of these intelligent systems in real-world conditions. In response to these issues, this paper conducts research on the reliability testing and assessment of AI visual perception systems under vibration stress. The paper introduces the working mechanism of the visual perception system and the various testing methods for AI devices. Based on this, a reliability assessment method for intelligent devices is proposed, which uses the Fr\u00e9chet distance as the measurement function and environmental adaptability as the reliability metric. Additionally, a vibration test platform for the visual perception system is established, which offers a cost-effective and reliable solution to the high cost issue of field testing for AI devices. Finally, the reliability level of the visual perception system under various vibration conditions is tested through vibration testing. The research findings indicate that the reliability of AI models decreases as the degradation caused by vibration increases, following a normal distribution.<\/jats:p>","DOI":"10.3233\/jifs-234179","type":"journal-article","created":{"date-parts":[[2023,11,24]],"date-time":"2023-11-24T12:38:51Z","timestamp":1700829531000},"page":"1833-1852","source":"Crossref","is-referenced-by-count":0,"title":["Research on environmental reliability test and assessment of AI devices under vibration stress1"],"prefix":"10.1177","volume":"46","author":[{"given":"Xingge","family":"Li","sequence":"first","affiliation":[{"name":"Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China"},{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shufeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China"},{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xun","family":"Chen","sequence":"additional","affiliation":[{"name":"Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China"},{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yashun","family":"Wang","sequence":"additional","affiliation":[{"name":"Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China"},{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengwei","family":"Fan","sequence":"additional","affiliation":[{"name":"Laboratory of Science and Technology on Integrated Logistics Support, National University of Defense Technology, Changsha, China"},{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-234179_ref1","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1109\/MVT.2019.2892497","article-title":"The impact of adverse weather conditions on autonomous vehicles: how rain, snow, fog, and hail affect the performance of a self-driving car","volume":"14.2","author":"Zang Shizhe","year":"2019","journal-title":"IEEE Vehicular Technology Magazine"},{"key":"10.3233\/JIFS-234179_ref2","doi-asserted-by":"crossref","first-page":"9919","DOI":"10.1109\/JSEN.2021.3059310","article-title":"Realistic LiDAR with noise model for real-time testing of automated vehicles in a virtual environment","volume":"21.8","author":"Espineira Juan","year":"2021","journal-title":"IEEE Sensors Journal"},{"key":"10.3233\/JIFS-234179_ref4","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1109\/TRO.2004.838027","article-title":"How UGVs physically fail in the field","volume":"21.3","author":"Carlson Jennifer","year":"2005","journal-title":"IEEE Transactions on Robotics"},{"key":"10.3233\/JIFS-234179_ref6","doi-asserted-by":"crossref","first-page":"18108","DOI":"10.1364\/OE.430031","article-title":"Analysis of the influence of vibrations on the imaging quality of an integrated TDICCD aerial camera","volume":"29.12","author":"Zhou Xiaoqin","year":"2021","journal-title":"Optics Express"},{"key":"10.3233\/JIFS-234179_ref7","doi-asserted-by":"crossref","first-page":"4106","DOI":"10.1126\/scirobotics.aaw4106","article-title":"Parallel testing of vehicle intelligence via virtual-real interaction,","volume":"4.28","author":"Li Li","year":"2019","journal-title":"Science Robotics"},{"key":"10.3233\/JIFS-234179_ref10","doi-asserted-by":"crossref","first-page":"119481","DOI":"10.1016\/j.energy.2020.119481","article-title":"Study on the environmental adaptability of lithium-ion battery powered UAV under extreme temperature conditions,","volume":"219","author":"Li Niansi","year":"2021","journal-title":"Energy"},{"key":"10.3233\/JIFS-234179_ref11","first-page":"65","article-title":"Measurable augmented reality for prototyping cyberphysical systems: A robotics platform to aid the hardware prototyping and performance testing of algorithms","volume":"36.6","author":"Omidshafiei Shayegan","year":"2016","journal-title":"IEEE Control Systems Magazine"},{"key":"10.3233\/JIFS-234179_ref14","doi-asserted-by":"crossref","unstructured":"Zhao Shuai et al. 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