TY - JOUR
T1 - Temporal-Hierarchical Emergency-Degree Inference System for Running Vehicles Using Image and Navigation Data
AU - Koizumi, Satoshi
AU - Matsushita, Masayuki
AU - Takama, Yasufumi
AU - Takahashi, Hiroshi
AU - Hirota, Kaoru
N1 - Publisher Copyright:
© Fuji Technology Press Ltd. Creative Commons CC BY-ND: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nd/4.0/).
PY - 2000/1
Y1 - 2000/1
N2 - A fuzzy inference system of emergency-degrees for operating vehicles is proposed. Three situations of joining, cutting-in, and approaching the vehicle ahead are selected as target situations. The system has a hierarchical structure with temporal effects, using vagueness concept and a sigmoid function, to achieve the continuity of inference values and to suppress the influence of noise. The proposed system is tested using video data, taken by CCD stereo cameras mounted on a car and navigation data. The difference between the emergency-degree and driver's perception of danger is evaluated by an expert for safety in an automobile company. Finally the validity of the fuzzy inference with temporal effects for the proposed system is shown through comparison with four other inference methods.
AB - A fuzzy inference system of emergency-degrees for operating vehicles is proposed. Three situations of joining, cutting-in, and approaching the vehicle ahead are selected as target situations. The system has a hierarchical structure with temporal effects, using vagueness concept and a sigmoid function, to achieve the continuity of inference values and to suppress the influence of noise. The proposed system is tested using video data, taken by CCD stereo cameras mounted on a car and navigation data. The difference between the emergency-degree and driver's perception of danger is evaluated by an expert for safety in an automobile company. Finally the validity of the fuzzy inference with temporal effects for the proposed system is shown through comparison with four other inference methods.
KW - Fuzzy inference
KW - Hierarchical structure
KW - Intelligent transport systems
KW - Temporal effect
UR - http://www.scopus.com/inward/record.url?scp=34247138389&partnerID=8YFLogxK
U2 - 10.20965/jaciii.2000.p0076
DO - 10.20965/jaciii.2000.p0076
M3 - Article
AN - SCOPUS:34247138389
SN - 1343-0130
VL - 4
SP - 76
EP - 86
JO - Journal of Advanced Computational Intelligence and Intelligent Informatics
JF - Journal of Advanced Computational Intelligence and Intelligent Informatics
IS - 1
ER -