Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information
By Ran Liu, Chau Yuen, Tri-Nhut Do, D. Jiao, Xiang Liu, U-Xuan Tan. 2017
71 citations recorded by the source corpus.
Relative positioning between multiple mobile users is essential for many applications, such as search and rescue in disaster areas or human social interaction. Inertial-measurement unit (IMU) is promising to determine the change of position over short periods of time, but it is very sensitive to error accumulation over long term run. By equipping the mobile users with ranging unit, e.g. ultra-wideband (UWB), it is possible to achieve accurate relative positioning by trilateration-based approaches. As compared to vision or laser-based sensors, the UWB does not need to be with in line-of-sight and provides accurate distance estimation. However, UWB does not provide any bearing information and the communication range is limited, thus UWB alone cannot determine the user location without any ambiguity. In this paper, we propose an approach to combine IMU inertial and UWB ranging measurement for relative positioning between multiple mobile users without the knowledge of the infrastructure. We incorporate the UWB and the IMU measurement into a probabilistic-based framework, which allows to cooperatively position a group of mobile users and recover from positioning failures. We have conducted extensive experiments to demonstrate the benefits of incorporating IMU inertial and UWB ranging measurements.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Ocean Engineering
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Citations in the corpus
- Fusing Similarity-Based Sequence and Dead Reckoning for Indoor Positioning Without Training (2017, background): “Different systems might use different techniques for positioning, such as time-of-arrival (TOA) [1], [2], angle-of-arrival (AOA) [3], and received signal strength (RSS) [4], [5].”