Intelligent imaging systems for automotive applications

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dc.contributor.authorThompson, Chris
dc.contributor.authorHuang, Yingping
dc.contributor.authorFu, Shan
dc.date.accessioned2020-03-03T14:24:53Z
dc.date.available2020-03-03T14:24:53Z
dc.date.issued2003-03-31
dc.description.abstractIn common with many other application areas, visual signals are becoming an increasingly important information source for many automotive applications. For several years CCD cameras have been used as research tools for a range of automotive applications. Infrared cameras, RADAR and LIDAR are other types of imaging sensors that have also been widely investigated for use in cars. This paper will describe work in this field performed in C2VIP over the last decade - starting with Night Vision Systems and looking at various other Advanced Driver Assistance Systems. Emerging from this experience, we make the following observations which are crucial for "intelligent" imaging systems: 1. Careful arrangement of sensor array. 2. Dynamic-Self-Calibration. 3. Networking and processing. 4. Fusion with other imaging sensors, both at the image level and the feature level, provides much more flexibility and reliability in complex situations. We will discuss how these problems can be addressed and what are the outstanding issues.en_UK
dc.identifier.citationThompson C, Huang YP, Fu S. (2004) Intelligent imaging systems for automotive applications. In: Optical Technologies for Industrial, Environmental and Biological Sensing, 27-31 October 2003, Providence, Rhode Island, USA, Volume 5272, Industrial and Highway Sensors Technologyen_UK
dc.identifier.issn0277-786X
dc.identifier.urihttps://doi.org/10.1117/12.516534
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/15209
dc.language.isoenen_UK
dc.publisherSPIEen_UK
dc.titleIntelligent imaging systems for automotive applicationsen_UK
dc.typeConference paperen_UK

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