Intelligent imaging systems for automotive applications

Chris Thompson; Yingping Huang; Shan Fu

doi:10.1117/12.516534

8 March 2004 Intelligent imaging systems for automotive applications

Chris Thompson, Yingping Huang, Shan Fu

Proceedings Volume 5272, Industrial and Highway Sensors Technology; (2004) https://doi.org/10.1117/12.516534
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States

Abstract

In 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.

Citation Download Citation

Chris Thompson, Yingping Huang, and Shan Fu "Intelligent imaging systems for automotive applications", Proc. SPIE 5272, Industrial and Highway Sensors Technology, (8 March 2004); https://doi.org/10.1117/12.516534

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