State-of-the-Art Mobile Intelligence: Enabling Robots to Move Like Humans by Estimating Mobility with Artificial Intelligence

According to our position relative to that of the house, we also can judge our speed and that of the car, predict the location of the car, and determine whether we need to avoid the car. The disadvantage of the optical flow method is the large computational overhead. [...]it is difficult to find the...

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Bibliographic Details
Published in:Applied sciences 2018-03, Vol.8 (3), p.379
Main Authors: Jin, Xue-Bo, Su, Ting-Li, Kong, Jian-Lei, Bai, Yu-Ting, Miao, Bei-Bei, Dou, Chao
Format: Article
Language:English
Subjects:
Acceleration
Accuracy
adaptive model
Artificial intelligence
Computer applications
Deep learning
estimation
Global positioning systems
GPS
Houses
Indoor environments
interacting multiple model
International conferences
Kalman filter
Localization
Mechanical systems
Miniaturization
mobile intelligence
Navigation
Navigation systems
Neural networks
Optical flow (image analysis)
Position measurement
Researchers
Robots
Sensors
tracking
tracking models
Unmanned aerial vehicles
World Wide Web
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Summary:According to our position relative to that of the house, we also can judge our speed and that of the car, predict the location of the car, and determine whether we need to avoid the car. The disadvantage of the optical flow method is the large computational overhead. [...]it is difficult to find the correct optical flow mode when the robot is moving at a high speed. IMUs have become smaller, lower cost, and consume less power thanks to miniaturization technologies, such as micro-electro-mechanical systems or nano-electro-mechanical systems. Because the measurements of the IMUs have unknown drift, it is difficult to use the acceleration and orientation measurements, to obtain the current position of a pedestrian in an indoor navigation system [5]. [...]in the face of increasingly complex environments and movements, the most important difficulty lies in the fact that a sensor cannot obtain the accurate information in response to the complex environment of the outside world. [...]a method of modeling the measurement sensor should be developed.
ISSN:2076-3417
2076-3417
DOI:10.3390/app8030379