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

• 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: 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
• Institution: Nanyang Technological University

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...