Using olfactory and Visual Information to Assist Mobile Robots in Classifying Ground Stains

Author:

Wu Lifan1,Dai Haihang1,Liu Jiaming2,Zhu Wenjun1,Cai Hao3,Li Fei3,Feng Lihang1

Affiliation:

1. College of Electrical, Engineering and Control Science Nanjing Tech University,Nanjing,China

2. Anhui Six Dimensional Sensing Technology Co.,Fuyang,China

3. College of Urban Construction, Nanjing Tech University,Nanjing,China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

IEEE

Reference18 articles.

1. Gas identification with drift counteraction for electronic noses using augmented convolutional neural network

2. Cbam: Convolutional block attention module[C];woo;Proceedings of the European Conference on Computer Vision (ECCV),2018

3. Squeeze-and-Excitation Networks.[J];jie;IEEE Transactions on Pattern Analysis and Machine Intelligence,2019

4. Multi-model fusion based on Stacking: A predictive model for the price trend of natural rubber

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