Application of GIS-aided INS/GNSS/GPRS navigation technology in logistics

Author:

Yan Zhao1,Yifan Wang2

Affiliation:

1. Air Force Engineering University,Air and Missile Defense College,Xi’an,China,710051

2. Unit 93942 of PLA,Xian Yan,China,712000

Publisher

IEEE

Reference13 articles.

1. The Development Trend of China’s Smart Logistics;He;China Business And Market,2017

2. Discussion on the path of smart logistics transformation in china under the ‘Internet+’;Wu;Logistics Management,2018

3. A Research on Intelligent Logistics Mode Reconstruction Based on Big Data Cloud Computing;Li;China Business And Market,2019

4. A new direct filtering approach to INS/GNSS integration

5. Robust Unscented Kalman Filtering With Measurement Error Detection for Tightly Coupled INS/GNSS Integration in Hypersonic Vehicle Navigation

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