{"title":"智能驾驶的视觉传感：技术挑战和创新解决方案","authors":"Xinle Gong, Zhihua Zhong","doi":"10.1016/j.eng.2025.06.038","DOIUrl":null,"url":null,"abstract":"With the rapid development of automotive intelligent technologies, in-vehicle vision sensors have gained traction as essential components of intelligent driving systems, providing critical road condition data, assisting driving decisions, and enabling autonomous driving functions. Compared with other in-vehicle perception sensors, vision sensors deliver more detailed and comprehensive environmental information, offering vital data to support intelligent driving decision-making and control [<span><span>1</span></span>]. Therefore, the accuracy and reliability of visual perception directly influence the safety and performance of intelligent driving systems, making it a central factor in achieving truly intelligent and autonomous vehicles. <span><span>Fig. 1</span></span> illustrates the vision sensing in intelligent driving.<figure><span><img alt=\"\" aria-describedby=\"cn0005\" height=\"203\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2095809925003807-gr1.jpg\"/><ol><li><span><span>Download: <span>Download high-res image (129KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span><span><span><p><span>Fig. 1</span>. Vision sensing for intelligent driving</p></span></span></figure>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"51 1","pages":""},"PeriodicalIF":10.1000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vision Sensing for Intelligent Driving: Technical Challenges and Innovative Solutions\",\"authors\":\"Xinle Gong, Zhihua Zhong\",\"doi\":\"10.1016/j.eng.2025.06.038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of automotive intelligent technologies, in-vehicle vision sensors have gained traction as essential components of intelligent driving systems, providing critical road condition data, assisting driving decisions, and enabling autonomous driving functions. Compared with other in-vehicle perception sensors, vision sensors deliver more detailed and comprehensive environmental information, offering vital data to support intelligent driving decision-making and control [<span><span>1</span></span>]. Therefore, the accuracy and reliability of visual perception directly influence the safety and performance of intelligent driving systems, making it a central factor in achieving truly intelligent and autonomous vehicles. <span><span>Fig. 1</span></span> illustrates the vision sensing in intelligent driving.<figure><span><img alt=\\\"\\\" aria-describedby=\\\"cn0005\\\" height=\\\"203\\\" src=\\\"https://ars.els-cdn.com/content/image/1-s2.0-S2095809925003807-gr1.jpg\\\"/><ol><li><span><span>Download: <span>Download high-res image (129KB)</span></span></span></li><li><span><span>Download: <span>Download full-size image</span></span></span></li></ol></span><span><span><p><span>Fig. 1</span>. Vision sensing for intelligent driving</p></span></span></figure>\",\"PeriodicalId\":11783,\"journal\":{\"name\":\"Engineering\",\"volume\":\"51 1\",\"pages\":\"\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.eng.2025.06.038\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.eng.2025.06.038","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Vision Sensing for Intelligent Driving: Technical Challenges and Innovative Solutions
With the rapid development of automotive intelligent technologies, in-vehicle vision sensors have gained traction as essential components of intelligent driving systems, providing critical road condition data, assisting driving decisions, and enabling autonomous driving functions. Compared with other in-vehicle perception sensors, vision sensors deliver more detailed and comprehensive environmental information, offering vital data to support intelligent driving decision-making and control [1]. Therefore, the accuracy and reliability of visual perception directly influence the safety and performance of intelligent driving systems, making it a central factor in achieving truly intelligent and autonomous vehicles. Fig. 1 illustrates the vision sensing in intelligent driving.
期刊介绍：
Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.
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