Multi-View Fusion-Based 3D Object Detection for Robot Indoor Scene Perception.

Wang, Li; Li, Ruifeng; Sun, Jingwen; Liu, Xingxing; Zhao, Lijun; Seah, Hock Soon; Quah, Chee Kwang; Tandianus, Budianto

Wang, Li; Li, Ruifeng; Sun, Jingwen; Liu, Xingxing; Zhao, Lijun; Seah, Hock Soon; Quah, Chee Kwang; Tandianus, Budianto.

Afiliação

Wang L; State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. 15b908017@hit.edu.cn.
Li R; State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. lrf100@hit.edu.cn.
Sun J; State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. 18S008061@stu.hit.edu.cn.
Liu X; School of Physical Sciences, University of Science and Technology of China, Hefei 230026, China. lx2014@mail.ustc.edu.cn.
Zhao L; State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150001, China. zhaolj@hit.edu.cn.
Seah HS; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore. ashsseah@ntu.edu.sg.
Quah CK; ST Electronics (Training & Simulation Systems) Pte Ltd., Singapore 567714, Singapore. quah.cheekwang@stee.stengg.com.
Tandianus B; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore. btandianus@ntu.edu.sg.

Sensors (Basel) ; 19(19)2019 Sep 21.

Article em En | MEDLINE | ID: mdl-31546674

Palavras-chave

3D object detection; Manhattan frame; multi-view fusion; semantic segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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