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Proceedings Paper

Intelligent imaging systems for automotive applications
Author(s): Chris Thompson; Yingping Huang; Shan Fu
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Paper 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.

Paper Details

Date Published: 8 March 2004
PDF: 13 pages
Proc. SPIE 5272, Industrial and Highway Sensors Technology, (8 March 2004); doi: 10.1117/12.516534
Show Author Affiliations
Chris Thompson, Cranfield Univ. (United Kingdom)
Yingping Huang, Cranfield Univ. (United Kingdom)
Shan Fu, Cranfield Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 5272:
Industrial and Highway Sensors Technology
Brian Culshaw; Samuel David Crossley; Helmut E. Knee; Michael A. Marcus; John P. Dakin, Editor(s)

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