scholarly journals LiDAR-IMU Time Delay Calibration Based on Iterative Closest Point and Iterated Sigma Point Kalman Filter

Sensors ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 539 ◽  
Author(s):  
Wanli Liu
2008 ◽  
Vol 18 (7-8) ◽  
pp. 663-675 ◽  
Author(s):  
Marc-André Beyer ◽  
Wolfgang Grote ◽  
Gunter Reinig

2021 ◽  
Author(s):  
Kanishke Gamagedara ◽  
Taeyoung Lee ◽  
Murray R. Snyder

1986 ◽  
Vol 16 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Jukka Rantala

AbstractThis paper deals with experience rating of claims processes of ARIMA structures. By experience rating we mean that future premiums should be only a function of past values of the claims process. The main emphasis is on demonstrating the usefulness of the control-theoretical approach in the search for optimal rating rules. Optimality is here defined to mean as smooth a flow of premiums as possible when the variation in the accumulated profit is restricted to a certain amount. First it is shown how the underlying model in its simplest form can be transformed into the state-space form. Then the Kalman filter technique is used to find the optimal rules. Also a time delay in information is taken into account. The optimal rules are illustrated by examples.


2021 ◽  
Author(s):  
Xiaofei Zeng ◽  
Bin Zhang ◽  
Xiang Han ◽  
Zhijie Chen ◽  
Wei Xiong ◽  
...  

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