Point cloud uncertainty analysis for laser radar measurement system based on error ellipsoid model

2016 ◽  
Vol 79 ◽  
pp. 78-84 ◽  
Author(s):  
Du Zhengchun ◽  
Wu Zhaoyong ◽  
Yang Jianguo
1983 ◽  
Vol 61 (3) ◽  
pp. 469-472 ◽  
Author(s):  
Yasunobu Iwasaka ◽  
Hiroshi Fukunishi ◽  
Takeo Hirasawa ◽  
Ryoichi Fujii ◽  
Hiroshi Miyaoka

2014 ◽  
Vol 12 (5) ◽  
pp. 051201-51204 ◽  
Author(s):  
Shenglong Fan Shenglong Fan ◽  
Muqing Liu Muqing Liu ◽  
Haiping Shen Haiping Shen

Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 294
Author(s):  
Bo Shi ◽  
Fan Zhang ◽  
Fanlin Yang ◽  
Yanquan Lyu ◽  
Shun Zhang ◽  
...  

Global navigation satellite system (GNSS)/inertial navigation system (INS) navigation technology is one of the core technologies in a mobile measurement system and can provide real-time geo-referenced information. However, in the environment measurements, buildings cover up the GNSS signal, causing satellite signals to experience loss-of-lock. At this time errors of INS independent navigation accumulate rapidly, so it cannot meet the needs of the mobile measurement system. In this paper, a positioning error compensation method based on plane control is proposed by analyzing the error characteristics of position and orientation caused by satellite signal loss-of-lock in the urban environment. This method control uses planar features and the laser point cloud positioning equation to establish an adjustment model that ignores the influence of the attitude error and finds the positioning error at the middle point of the GNSS signal loss-of-lock time period, and then compensates for the error at other points by using the characteristics of the positioning error. The experimental results show that the accuracy of the compensated laser point cloud has been significantly improved, and the feasibility of the method is verified. Meanwhile, the method can rely on the existing building plane so the method is adaptable and easy to implement.


2016 ◽  
Vol 31 (153) ◽  
pp. 71-87 ◽  
Author(s):  
Xijiang Chen ◽  
Guang Zhang ◽  
Xianghong Hua ◽  
Wei Xuan

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