Open AccessVisual module based on VSLAM
Author(s) -
Letian Xiong,
Guojiao Liao,
Shiqi Xiong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012006
Subject(s) - drone , scope (computer science) , field (mathematics) , computer science , robot , artificial intelligence , computer security , systems engineering , engineering , biology , genetics , mathematics , pure mathematics , programming language
With the rapid development of science and technology, VSLAM (real-time positioning and map construction technology) has been widely used in AR/VR, robots, drones and unmanned aerial vehicles and other fields because of its unique theory and application value in the era of artificial intelligence. However, there are still difficulties on indoor and outdoor positioning navigation and image scene understanding, such as auxiliary rescue after disaster, inspection of large factories, etc. In addition, the combination entity of VSLAM and artificial intelligence has not realized the popularization of consumption level. A vision system positioning module based on VSLAM technology can be transferred to be the carrier of any intelligent robots, which can be used in post-disaster auxiliary rescue, intelligent inspection of large factories, intelligent logistics sorting field and the construction of intelligent city in the future. People can save rescue time, help save life, reduce economic loss and the safety risk of rescue personnel on the auxiliary disaster rescue and intelligent inspection with it. At the same time, it can help achieve intelligent logistics sorting (and its scope expansion) by setting up network with 5G (5th generation wireless systems) in logistics community distribution.