<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point cloud results in different experimental results. Experiments show that the proposed method has higher accuracy when dividing the cloud with 27 × 35 cells. Comparison of point cloud cell image method with VoxNet method, <italic>experimental results show that the classification method based on gray image and convolutional neural network has more advantages than the most advanced point cloud recognition network Voxnet.</italic></p>
</abstract>

This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point cloud results in different experimental results. Experiments show that the proposed method has higher accuracy when dividing the cloud with 27 × 35 cells. Comparison of point cloud cell image method with VoxNet method, experimental results show that the classification method based on gray image and convolutional neural network has more advantages than the most advanced point cloud recognition network Voxnet.

Lidar Image Classification based on Convolutional Neural Networks

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Lidar Image Classification based on Convolutional Neural Networks"}

This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and...

Lidar Image Classification based on Convolutional Neural Networks

Online veröffentlicht: 09. Apr. 2018

Seitenbereich: 158 - 162

DOI: https://doi.org/10.21307/ijanmc-2017-037

Schlüsselwörter
Point Cloud, CNN, Gray Image, Lidar

© 2017 Yang Wenhui et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Lidar Image Classification based on Convolutional Neural Networks

Online veröffentlicht: 09. Apr. 2018

Seitenbereich: 158 - 162

DOI: https://doi.org/10.21307/ijanmc-2017-037

SchlüsselwörterPoint Cloud, CNN, Gray Image, Lidar

© 2017 Yang Wenhui et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Point Cloud, CNN, Gray Image, Lidar