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Multi-Objective Location and Mapping Based on Deep Learning and Visual Slam.
Sun, Ying; Hu, Jun; Yun, Juntong; Liu, Ying; Bai, Dongxu; Liu, Xin; Zhao, Guojun; Jiang, Guozhang; Kong, Jianyi; Chen, Baojia.
Afiliación
  • Sun Y; Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Hu J; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Yun J; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Liu Y; Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Bai D; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Liu X; Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Zhao G; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Jiang G; Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Kong J; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan 430081, China.
  • Chen B; Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.
Sensors (Basel) ; 22(19)2022 Oct 06.
Article en En | MEDLINE | ID: mdl-36236676

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Aprendizaje Profundo Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Aprendizaje Profundo Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza