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Ladar range estimation technology

激光雷达距离估计技术
Authors: 夏文泽 Xia Wenze; 韩绍坤 Han Shaokun; 曹京亚 Cao Jingya; 王 亮 Wang Liang; 翟 倩 Zhai Qian;

Ladar range estimation technology

Abstract

Range estimation technology, which plays a decisive role on the properties of the laser radar system, is always the core technology of laser radar technology. A range estimation technology based on Artificial Neural Network which contains two layers of network was proposed. The contrast experiment with the Cross-correlation range estimation technology demonstrates this technology can provide more accurate range estimation result. A simulation experiment on intensity image was conducted, and experiment result show this technology can provide more accurate intensity data than the peak judgment technology. The correlation between the neuron amount of hidden layer and range estimation accuracy was also analyzed, and the result shows too many or too few neurons will decrease the range estimation accuracy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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