摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 91-95 |
| 页数 | 5 |
| ISBN（电子版） | 9781467391146 |
| DOI | |
| 出版状态 | 已出版 - 1 2月 2016 |
| 活动 | IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 - Yokohama, 日本 期限: 5 11月 2015 → 7 11月 2015 |
出版系列
| 姓名 | 2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 |
|---|
会议
| 会议 | IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 |
|---|---|
| 国家/地区 | 日本 |
| 市 | Yokohama |
| 时期 | 5/11/15 → 7/11/15 |
指纹
探究 'Road recognition for a wheeled heavy duty off-road autonomous vehicle' 的科研主题。它们共同构成独一无二的指纹。引用此
Ye, G., Xiong, G., Li, N., Zhu, M., & Gong, J. (2016). Road recognition for a wheeled heavy duty off-road autonomous vehicle. 在 2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015 (页码 91-95). 文章 7396900 (2015 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVES.2015.7396900