Research on Distance Transform and Neural Network Lidar Information Sampling Classification-Based Semantic Segmentation of 2D Indoor Room Maps

Research on Distance Transform and Neural Network Lidar Information Sampling Classification-Based Semantic Segmentation of 2D Indoor Room Maps

Semantic segmentation of room maps is an essential issue in mobile robots’ execution of tasks. In this work, a new approach to obtain the semantic labels of 2D lidar room maps by combining distance transform watershed-based pre-segmentation and a skillfully designed neural network lidar information...

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Bibliographic Details
Main Authors: Tao Zheng, Zhizhao Duan, Jin Wang, Guodong Lu, Shengjie Li, Zhiyong Yu
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
semantic segmentation
distance transform watershed
neural network
classification
lidar information
mobile robot
Online Access:https://www.mdpi.com/1424-8220/21/4/1365

Internet

https://www.mdpi.com/1424-8220/21/4/1365

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