Position Estimation Algorithm Using Multiple UWB Wireless Transceivers and Laser Scanner and Its Application to Human Tracking of a Mobile Robot

2018 ◽  
Vol 2018.56 (0) ◽  
pp. 1310
Author(s):  
Oh Seong PARK ◽  
Jae Hoon LEE ◽  
Shingo OKAMOTO
Robotica ◽  
1994 ◽  
Vol 12 (5) ◽  
pp. 431-441 ◽  
Author(s):  
Kyoung C. Koh ◽  
Jae S. Kim ◽  
Hyung S. Cho

SUMMARYThis paper presents an absolute position estimation system for a mobile robot moving on a flat surface. In this system, a 3-D landmark with four coplanar points and a non-coplanar point is utilized to improve the accuracy of position estimation and to guide the robot during navigation. Applying theoretical analysis, we investigate the image sensitivity of the proposed 3-D landmark compared with the conventional 2-D landmark. In the camera calibration stage of the experiments, we employ a neural network as a computational tool. The neural network is trained from a set of learning data collected at various points around the mark so that the extrinsic and intrinsic parameters of the camera system can be resolved. The overall estimation algorithm from the mark identification to the position determination is implemented in a 32-bit personal computer with an image digitizer and an arithmetic accelerator. To demonstrate the effectiveness of the proposed 3-D landmark and the neural network-based calibration scheme, a series of navigation experiments were performed on a wheeled mobile robot (LCAR) in an indoor environment. The results show the feasibility of the position estimation system applicable to mobile robot's real-time navigation.


2017 ◽  
Vol 23 (10) ◽  
pp. 858-865
Author(s):  
Hyeong-Guk Jeon ◽  
Jin-Han Jeong ◽  
Jin-Soo Kim ◽  
Yook-Hyun Yoon ◽  
Jahng-Hyon Park

2006 ◽  
Vol 24 (5) ◽  
pp. 605-613 ◽  
Author(s):  
Shinichi Okusako ◽  
Shigeyuki Sakane

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