@inproceedings{6e92d0103e9b415c8d31d2819be35bc7,
title = "Study on Autonomous Vehicles' Bio-Inspired Decision-Making under Complex Dynamics Environments",
abstract = "To relieve the stress on drivers and reduce the risk of accidents, researchers have carried out a lot of research work on autonomous vehicles. One of the key issues of autonomous vehicles research is to apply cognitive science and knowledge (including the bionics, Rough Set theory or fuzzy mathematics) to study the driver tactical level decision-making process based on multi-sensor information fusion. The algorithm of bio-inspired cognitive and decision making under complex dynamic environment has been established. The results show that the drivers' experience knowledge about uncertainty can be effectively expressed, and the driving tactical level decision-making can be simulated and confirmed.",
author = "Chen, {Xue Mei} and Gong, {Jian Wei} and Yan Jiang and Di, {Hui Jun}",
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 = "10.1061/9780784479292.254",
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 = "2766--2775",
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",
}