Multisensor Information Fusion: Future of Environmental Perception in Intelligent Vehicles
As urban transportation increasingly impacts daily life, efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion, frequent accidents, and noise pollution. The rapid advancement of intelligent autonomous driving technol...
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| Published in | Journal of intelligent and connected vehicles Vol. 7; no. 3; pp. 163 - 176 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Tsinghua University Press
01.09.2024
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| Subjects | |
| Online Access | Get full text |
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| Abstract | As urban transportation increasingly impacts daily life, efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion, frequent accidents, and noise pollution. The rapid advancement of intelligent autonomous driving technologies, particularly environmental perception technologies, offers new directions for solving these problems. This review discusses the application of multisensor information fusion technology in environmental perception for intelligent vehicles, analyzing the components and performance of various sensors and their specific applications in autonomous driving. Through multisensor information fusion, the accuracy of environmental perception is enhanced, optimizing decision support for autonomous driving systems and thereby improving vehicle safety and driving efficiency. This study also discusses the challenges faced by information fusion technology and future development trends, providing references for further research and application in intelligent transportation systems. |
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| AbstractList | As urban transportation increasingly impacts daily life, efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion, frequent accidents, and noise pollution. The rapid advancement of intelligent autonomous driving technologies, particularly environmental perception technologies, offers new directions for solving these problems. This review discusses the application of multisensor information fusion technology in environmental perception for intelligent vehicles, analyzing the components and performance of various sensors and their specific applications in autonomous driving. Through multisensor information fusion, the accuracy of environmental perception is enhanced, optimizing decision support for autonomous driving systems and thereby improving vehicle safety and driving efficiency. This study also discusses the challenges faced by information fusion technology and future development trends, providing references for further research and application in intelligent transportation systems. |
| Author | Zhang, Yongsheng Wang, Liang Gao, Kun Tu, Chen |
| Author_xml | – sequence: 1 givenname: Yongsheng surname: Zhang fullname: Zhang, Yongsheng organization: CRRC Qishuyan Institute Co., Ltd.,Changzhou,China,213011 – sequence: 2 givenname: Chen surname: Tu fullname: Tu, Chen organization: School of Information Science and Engineering, Southeast University,Nanjing,China,211189 – sequence: 3 givenname: Kun surname: Gao fullname: Gao, Kun organization: Chalmers University of Technology,Department of Architecture and Civil Engineering,Gothenburg,Sweden,SE-41296 – sequence: 4 givenname: Liang surname: Wang fullname: Wang, Liang organization: School of Vehicle and Mobility, Tsinghua University,Beijing,China,100084 |
| BackLink | https://research.chalmers.se/publication/543390$$DView record from Swedish Publication Index |
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| SubjectTerms | autonomous driving environmental perception intelligent vehicles multisensor information fusion traffic safety |
| Title | Multisensor Information Fusion: Future of Environmental Perception in Intelligent Vehicles |
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