@inproceedings{b22a0b58019b41dd95c7b232a0924756,
title = "Road recognition for a wheeled heavy duty off-road autonomous vehicle",
abstract = "In this paper, an automatic control system based on {"}x-by-wire{"} is introduced for a wheeled heavy duty off-road vehicle. Moreover, a vision-based recognition algorithm of unstructured roads for this automated wheeled heavy duty off-road vehicle is presented to extract the complete feasible road area. The road recognition method consists of the multilayer perceptron self-supervised on-line learning and post-process based on a road model assumption. The experimental results show the effectiveness of the proposed system.",
keywords = "Autonomous, Heavy Duty Off-Road Vehicle, Road Recognition",
author = "Gang Ye and Guangming Xiong and Ning Li and Min Zhu and Jianwei Gong",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 ; Conference date: 05-11-2015 Through 07-11-2015",
year = "2016",
month = feb,
day = "1",
doi = "10.1109/ICVES.2015.7396900",
language = "English",
series = "2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "91--95",
booktitle = "2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015",
address = "United States",
}