Paper
15 May 2001 Vehicle detection system using artificial retina chips
Koichi Ikuta, Toshiyuki Tamura, Ken-ichi Tanaka, Kazuo Kyuma
Author Affiliations +
Abstract
The AR chip is a versatile CMOS image sensor, functions are not only normal image acquisition but also on-chip image processing. Such features can accelerate algorithms of image processing and the controls of proper image. We have developed the low-cost and compact vehicle detection system using he AR chips. The system is composed of a processing module and an AR camera module. The AR Camera module has dual artificial retina chips to cover the wide dynamic range of the outdoor brightness environment. The ND filter is coated on the lens of one of the chips, each AR chip covers different range of the brightness. The control algorithm of image acquisition is designed to select an adequate chip based on the image quality. The images of the selected chip are processed by on-chip functions for pre-processing and they are transferred to the processing module. Finally the processing module judges the existence of vehicles and detects several kinds of attributive information of the detected vehicle such as moving direction. In our paper, we describe details of the system and the algorithm and we show several result data through field experiments under the real road environment.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Koichi Ikuta, Toshiyuki Tamura, Ken-ichi Tanaka, and Kazuo Kyuma "Vehicle detection system using artificial retina chips", Proc. SPIE 4306, Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II, (15 May 2001); https://doi.org/10.1117/12.426948
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KEYWORDS
Prototyping

Image processing

Cameras

Control systems

Autoregressive models

Detection and tracking algorithms

Sensors

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