scholarly journals Adaptive ground segmentation method for real-time mobile robot control

2017 ◽  
Vol 14 (6) ◽  
pp. 172988141774813 ◽  
Author(s):  
Hoang Vu ◽  
Hieu Trong Nguyen ◽  
Phuong Minh Chu ◽  
Weiqiang Zhang ◽  
Seoungjae Cho ◽  
...  
2006 ◽  
Vol 2006 (0) ◽  
pp. _1A1-D21_1-_1A1-D21_4
Author(s):  
Katsuya Iwata ◽  
Shinkichi Inagaki ◽  
Yusuke Nara ◽  
Tatsuya Suzuki

1997 ◽  
Vol 08 (03) ◽  
pp. 279-293 ◽  
Author(s):  
Doo-Hyun Choi ◽  
Se-Young Oh

The feasibility of using neural networks for camera localization and mobile robot control is investigated here. This approach has the advantages of eliminating the laborious and error-prone process of imaging system modeling and calibration procedures. Basically, two different approaches of using neural networks are introduced of which one is a hybrid approach combining neural networks and the pinhole-based analytic solution while the other is purely neural network based. These techniques have been tested and compared through both simulation and real-time experiments and are shown to yield more precise localization than analytic approaches. Furthermore, this neural localization method is also shown to be directly applicable to the navigation control of an experimental mobile robot along the hallway purely guided by a dark wall strip. It also facilitates multi-sensor fusion through the use of multiple sensors of different types for control due to the network's capability of learning without models.


2017 ◽  
Author(s):  
Júnio Eduardo de Morais Aquino ◽  
Bruno de Paiva Teixeira ◽  
Luiz Carlos Figueiredo

2010 ◽  
Vol 30 (3) ◽  
pp. 384-404 ◽  
Author(s):  
Alonzo Kelly ◽  
Nicholas Chan ◽  
Herman Herman ◽  
Daniel Huber ◽  
Robert Meyers ◽  
...  

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