Multi-channel convolutional neural network based 3D object detection for indoor robot environmental perception

Multi-channel convolutional neural network based 3D object detection for indoor robot environmental perception

Environmental perception is a vital feature for service robots when working in an indoor environment for a long time. The general 3D reconstruction is a low-level geometric information description that cannot convey semantics. In contrast, higher level perception similar to humans requires more abst...

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Bibliographic Details
Main Authors: Wang, Li, Li, Ruifeng, Shi, Hezi, Sun, Jingwen, Zhao, Lijun, Tandianus, Budianto, Seah, Hock Soon, Quah, Chee Kwang
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2019
Subjects:
Multi-Channel CNN
3D Object Detection
DRNTU::Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/105814
http://hdl.handle.net/10220/48782
http://dx.doi.org/10.3390/s19040893

Internet

https://hdl.handle.net/10356/105814
http://hdl.handle.net/10220/48782
http://dx.doi.org/10.3390/s19040893

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