Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning

Voxel-Based Neighborhood for Spatial Shape Pattern Classification of Lidar Point Clouds with Supervised Learning

Improving the effectiveness of spatial shape features classification from 3D lidar data is very relevant because it is largely used as a fundamental step towards higher level scene understanding challenges of autonomous vehicles and terrestrial robots. In this sense, computing neighborhood for point...

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Bibliographic Details
Main Authors: Victoria Plaza-Leiva, Jose Antonio Gomez-Ruiz, Anthony Mandow, Alfonso García-Cerezo
Format: Article
Language:English
Published: MDPI AG 2017-03-01
Series:Sensors
Subjects:
3D laser scanner
spatial shape features
3D classification
point clouds
voxels
supervised learning
neural networks
lidar
ground vehicles
Online Access:http://www.mdpi.com/1424-8220/17/3/594

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http://www.mdpi.com/1424-8220/17/3/594

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