Multi-sensor integrated navigation/positioning systems using data fusion: From analytics-based to learning-based approaches
Wuhan University · City University of Hong Kong, Shenzhen Research Institute · +5 more institutions
Abstract
Navigation/positioning systems have become critical to many applications, such as autonomous driving, Internet of Things (IoT), Unmanned Aerial Vehicle (UAV), and smart cities. However, it is difficult to provide a robust, accurate, and seamless solution with single navigation/positioning technology. For example, the Global Navigation Satellite System (GNSS) cannot perform satisfactorily indoors; consequently, multi-sensor integrated systems provide the solution, as they compensate for the limitations of single technology by using the complementary characteristics of different sensors. This article describes a thorough investigation into multi-sensor data fusion, which over the last ten years has been used for…
Citation impact
- FWCI
- 27.74
- Percentile
- 100%
- References
- 368
Authors
15- YZYuan Zhuang
Wuhan University, City University of Hong Kong, Shenzhen Research Institute, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- XSXiao Sun
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- YLYou LiCorresponding
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- JHJianzhu Huai
Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
- LHLuchi Hua
Southeast University
Topics & keywords
- Computer science
- Sensor fusion
- GNSS applications
- Kalman filter
- Artificial intelligence
- Real-time computing
- Global Positioning System
- Analytics