@inproceedings{9bff88179b624503be8ae5351e855b62,
title = "Evaluation of the Intelligent Behaviors of Unmanned Ground Vehicles Based on Information Theory",
abstract = "In the wake of the development of unmanned ground vehicle technologies, it is necessary to conduct a proper evaluation of the various technologies. Previous evaluation method saremainly based on the completion of the task, this may mislead most of the unmanned vehicle teams using a conservative strategy during the evaluation. In this paper, a new evaluation method is proposed. Based on typical working conditions including intersection, car-following and obstacle-Avoiding, the new evaluation indicator system is established, the information entropy method is applied to the comprehensive evaluation of unmanned vehicles. Empirical results show that the proposed evaluation method can quantitatively evaluate the intelligent capacity of unmanned vehicles.",
keywords = "Evaluation, Information entropy, Unmanned vehicles",
author = "Meng, {Kai Wen} and Zhao, {Ya Nan} and Li Gao and Tan, {Hua Chun}",
note = "Publisher Copyright: {\textcopyright} ASCE.; 15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015 ; Conference date: 24-07-2015 Through 27-07-2015",
year = "2015",
doi = "10.1061/9780784479292.037",
language = "English",
series = "CICTP 2015 - Efficient, Safe, and Green Multimodal Transportation - Proceedings of the 15th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "410--419",
editor = "Xuedong Yan and Yu Zhang and Yafeng Yin",
booktitle = "CICTP 2015 - Efficient, Safe, and Green Multimodal Transportation - Proceedings of the 15th COTA International Conference of Transportation Professionals",
address = "United States",
}