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7th International Conference on Hybrid Intelligent Systems (HIS 2007)
An FPGA-based CollisionWarning System Using Hybrid Approach
Kaiserslautern, Germany
September 17-September 19
ISBN: 0-7695-2946-1
ASCII Text
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Haichao Liang, Takashi Morie, Youhei Suzuki, Kazuki Nakada, Tsutomu Miki, Hatsuo Hayashi, "An FPGA-based CollisionWarning System Using Hybrid Approach," Hybrid Intelligent Systems, International Conference on, pp. 30-35, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/HIS.2007.38,
author = {Haichao Liang and Takashi Morie and Youhei Suzuki and Kazuki Nakada and Tsutomu Miki and Hatsuo Hayashi},
title = {An FPGA-based CollisionWarning System Using Hybrid Approach},
journal ={Hybrid Intelligent Systems, International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2946-1},
pages = {30-35},
doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.38},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hybrid Intelligent Systems, International Conference on
TI - An FPGA-based CollisionWarning System Using Hybrid Approach
SN - 0-7695-2946-1
SP30
EP35
A1 - Haichao Liang,
A1 - Takashi Morie,
A1 - Youhei Suzuki,
A1 - Kazuki Nakada,
A1 - Tsutomu Miki,
A1 - Hatsuo Hayashi,
PY - 2007
KW - null
VL - 0
JA - Hybrid Intelligent Systems, International Conference on
ER -
 
Haichao Liang, Kyushu Institute of Technology
Takashi Morie, Kyushu Institute of Technology
Youhei Suzuki, Kyushu Institute of Technology
Kazuki Nakada, Kyushu Institute of Technology
Tsutomu Miki, Kyushu Institute of Technology
Hatsuo Hayashi, Kyushu Institute of Technology
In this paper, we propose an FPGA-based collision warning system for advanced automobile driver assistance systems or autonomous moving robots. The system consists of three function blocks: coarse edge detection using a resistive-fuse network, moving-object detection inspired by neuronal propagation in the hippocampus, and danger evaluation and collision warning using fuzzy inference. The first two functions are implemented in FPGAs. The system can detect moving objects with a speed range of 3-192 km/h with a sampling period of 30 ms for an input image of 320 ? 256 pixels, and can output a warning against dangerous regions in the input image.
Citation:
Haichao Liang, Takashi Morie, Youhei Suzuki, Kazuki Nakada, Tsutomu Miki, Hatsuo Hayashi, "An FPGA-based CollisionWarning System Using Hybrid Approach," his, pp.30-35, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007
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