{"title":"用于自动驾驶的视觉计算","authors":"Siming Chen, Liang Gou, Michael Kamp, Dong Sun","doi":"10.1109/mcg.2024.3397581","DOIUrl":null,"url":null,"abstract":"Autonomous driving (AD) technology has experienced unprecedented growth in recent years, propelled by advancements in artificial intelligence. The transition from theoretical concepts to tangible implementations of self-driving cars holds immense promise in revolutionizing transportation, with the potential to significantly reduce traffic accidents and associated costs. However, despite this rapid progress, the field still grapples with underutilization of the vast datasets generated by autonomous vehicles, particularly in the realm of visualization and visual analytics, or in a broader sense, visual computing.","PeriodicalId":55026,"journal":{"name":"IEEE Computer Graphics and Applications","volume":"214 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visual Computing for Autonomous Driving\",\"authors\":\"Siming Chen, Liang Gou, Michael Kamp, Dong Sun\",\"doi\":\"10.1109/mcg.2024.3397581\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous driving (AD) technology has experienced unprecedented growth in recent years, propelled by advancements in artificial intelligence. The transition from theoretical concepts to tangible implementations of self-driving cars holds immense promise in revolutionizing transportation, with the potential to significantly reduce traffic accidents and associated costs. However, despite this rapid progress, the field still grapples with underutilization of the vast datasets generated by autonomous vehicles, particularly in the realm of visualization and visual analytics, or in a broader sense, visual computing.\",\"PeriodicalId\":55026,\"journal\":{\"name\":\"IEEE Computer Graphics and Applications\",\"volume\":\"214 1\",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Computer Graphics and Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/mcg.2024.3397581\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Graphics and Applications","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/mcg.2024.3397581","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Autonomous driving (AD) technology has experienced unprecedented growth in recent years, propelled by advancements in artificial intelligence. The transition from theoretical concepts to tangible implementations of self-driving cars holds immense promise in revolutionizing transportation, with the potential to significantly reduce traffic accidents and associated costs. However, despite this rapid progress, the field still grapples with underutilization of the vast datasets generated by autonomous vehicles, particularly in the realm of visualization and visual analytics, or in a broader sense, visual computing.
期刊介绍：
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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