High-precision initialization and acceleration of particle filter convergence to improve the accuracy and stability of terrain aided navigation

Author(s):  
Wang Rupeng ◽  
Chen Yunsai ◽  
Li Ye ◽  
Xu Pengfei ◽  
Shen Peng
2014 ◽  
Vol 556-562 ◽  
pp. 2702-2706
Author(s):  
Ying Xia ◽  
Xin Hao Xu

Accuracy and stability is crucial for dynamic object tracking. Considering the scale invariance, rotational invariance and strong anti-jamming capability of KAZE features, a method of dynamic object tracking based on KAZE features and particle filter is proposed. This method obtains the global color features of the dynamic object appearance and extracts its local KAZE features to construct the object model first, and then performs dynamic tracking by particle filter. Experimental results demonstrate the accuracy and stability of the proposed method.


2020 ◽  
pp. 348-351
Author(s):  
Yu.Z. Zhitnikov ◽  
B.Yu. Zhitnikov ◽  
A.E. Matrosov

Based on the theoretical and experimental analysis of achievable accuracy and stability of main forces of automated tightening of threaded joints, a multi-spindle nut has been developed, which ensures tightness of joints of articles operating at high pressures.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 13029-13042 ◽  
Author(s):  
Wang Rupeng ◽  
Li Ye ◽  
Ma Teng ◽  
Cong Zheng ◽  
Gong Yusen ◽  
...  

2013 ◽  
Vol 765-767 ◽  
pp. 2407-2410
Author(s):  
Bu Xin You ◽  
He Zhi Liu ◽  
Peng Tian ◽  
Jia Xu ◽  
Jing Bu

In the engineering application, we put forward higher request to the device in the clock accuracy and stability. In this paper, we can modify GPS second pulse online which based on the GPS timing and combine high precision crystal in order to reduce its random error. And on this basis, we put forward a method of dynamic compensation to do the real-time numerical compensation in the apparatus. It can be used as accurate information for the device using nanosecond, not only has high precision, but also simple to implement, and has higher application value in engineering.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Guanglong Du ◽  
Ping Zhang ◽  
Xueqian Wang

This paper utilizes a human-robot interface system which incorporates particle filter (PF) and adaptive multispace transformation (AMT) to track the pose of the human hand for controlling the robot manipulator. This system employs a 3D camera (Kinect) to determine the orientation and the translation of the human hand. We use Camshift algorithm to track the hand. PF is used to estimate the translation of the human hand. Although a PF is used for estimating the translation, the translation error increases in a short period of time when the sensors fail to detect the hand motion. Therefore, a methodology to correct the translation error is required. What is more, to be subject to the perceptive limitations and the motor limitations, human operator is hard to carry out the high precision operation. This paper proposes an adaptive multispace transformation (AMT) method to assist the operator to improve the accuracy and reliability in determining the pose of the robot. The human-robot interface system was experimentally tested in a lab environment, and the results indicate that such a system can successfully control a robot manipulator.


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