Multi-sensor Data Fusion Algorithm Based on Dempster-Shafer Theory

Aiming at the problem of uncertainty in multi-sensor data collection, a multi-sensor data fusion algorithm (MSDF) based on D-S theory is proposed. By calculating the distance between the data, the trust function is obtained to eliminate the abnormal data, calculate the basic probability distribution...

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Vydané v:	2021 7th International Conference on Computer and Communications (ICCC) s. 288 - 293
Hlavní autori:	Li, Xiguang, Zhao, Yue, Fan, Chunlong, Qiu, Xinye
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 10.12.2021
Predmet:	Computer simulation D-S evidence theory Data collection Data integration Deng entropy Entropy Multi-sensor data fusion Probability distribution Quantitative uncertainty Uncertainty
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