Door recognition and deep learning algorithm for visual based robot navigation
文献类型：会议论文
| 作者 | Wei Chen; Ting Qu; Yimin Zhou; Kaijian Weng; Gang Wang; Guoqiang Fu |
| 出版日期 | 2014 |
| 会议名称 | 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 |
| 会议地点 | 印度尼西亚 |
| 英文摘要 | In this paper, a new method based on deep learning for robotics autonomous navigation is presented. Different from the most traditional methods based on fixed models, a convolutional neural network (CNN) modelling technique in Deep learning is selected to extract the feature inspired by the working pattern of the biological brain. This neural network model has muti-layer features where the ambient scenes can be recognized and useful information such as the location of door can be identified. The extracted information can be used for robot navigation, so does the robot can approach the target accurately. In the field experiments, detecting doors and predicting the door poses such tasks are designed in the indoor environment to verify the proposed method. The experimental results demonstrate that the doors can be identified with good performance and the deep learning model is suitable for robot navigation. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5559]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Wei Chen,Ting Qu,Yimin Zhou,et al. Door recognition and deep learning algorithm for visual based robot navigation[C]. 见:2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014. 印度尼西亚. |
入库方式： OAI收割
来源：深圳先进技术研究院
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