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
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2019
• 主題: Multi-Channel CNN; 3D Object Detection; DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/105814; http://hdl.handle.net/10220/48782; http://dx.doi.org/10.3390/s19040893
• 機構: 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...