activity
20202026
most citedLocation-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

194 citations · 564 across the 8 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.SP2020★ 9 cited

Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?

You Li, Ruizhi Chen, Xiaoji Niu +4

The inertial navigation system (INS) has been widely used to provide self-contained and continuous motion estimation in intelligent transportation systems. Recently, the emergence…

eess.SP2020★ 98 cited

Autonomous Calibration of MEMS Gyros in Consumer Portable Devices

You Li, Jacques Georgy, Xiaoji Niu +2

This paper presents a real-time calibration method for gyro sensors in consumer portable devices. The calibration happens automatically without the need for external equipment or u…

eess.SP2020★ 116 cited

Towards Robust Crowdsourcing-Based Localization: A Fingerprinting Accuracy Indicator Enhanced Wireless/Magnetic/Inertial Integration Approach

You Li, Zhe He, Zhouzheng Gao +3

The next-generation internet of things (IoT) systems have an increasingly demand on intelligent localization which can scale with big data without human perception. Thus, tradition…

cs.LG2020★ 146 cited

Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization

You Li, Xin Hu, Yuan Zhuang +3

Location is key to spatialize internet-of-things (IoT) data. However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i.e., localization without…

cs.NI2020★ 194 cited

Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation

You Li, Yuan Zhuang, Xin Hu +12

The Internet of Things (IoT) has started to empower the future of many industrial and mass-market applications. Localization techniques are becoming key to add location context to…