@inproceedings{b037160f8b094ad4b058c3c3b87eca5d,
title = "Evaluation of the U-Turn Behavior of Unmanned Ground Vehicles Based on the FUZZY-PCA Method",
abstract = "Method based on fuzzy mathematics in combination with principal component analysis (FUZZY-PCA) can be used on evaluation of unmanned ground vehicles in U-turn environment. Relative membership degree is applied to make all indicators normalized and standardized after establishing index system of U-turn behavior, and using PCA method to compare all the teams with their evaluation index, which can obtain the final value matrix, and easily collate the results. The ranking of applying the method to the evaluation of {"}Future Challenge 2012{"} of the four unmanned ground vehicles is in agreement with the ranking of referee group. This kind of method is valuable for evaluation of unmanned ground vehicles' behavior both in U-turn and other environment.",
keywords = "Fuzzy mathematics, Fuzzy mathematics in combination with principal component analysis (FUZZY-PCA), Membership degree, Principal component analysis (PCA), U-turn environment, Unmanned ground vehicles",
author = "Li, {Yun Hui} and Zhao, {Ya Nan} and Li Gao and Fang Dong and Li Feng and Xia Li",
note = "Publisher Copyright: {\textcopyright} 2016 ASCE.; 16th COTA International Conference of Transportation Professionals: Green and Multimodal Transportation and Logistics, CICTP 2016 ; Conference date: 06-07-2016 Through 09-07-2016",
year = "2016",
doi = "10.1061/9780784479896.156",
language = "English",
series = "CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "1704--1713",
editor = "Ying-En Ge and Xiaokun Wang and Yu Zhang and Youfang Huang",
booktitle = "CICTP 2016 - Green and Multimodal Transportation and Logistics - Proceedings of the 16th COTA International Conference of Transportation Professionals",
address = "United States",
}