Search Results for author: Naser El-Sheimy

Found 5 papers, 0 papers with code

Supporting GNSS Baseband Using Smartphone IMU and Ultra-Tight Integration

no code implementations4 Nov 2021 Yiran Luo, You Li, Jin Wang, Naser El-Sheimy

A great surge of the global navigation satellite system (GNSS) development excavates the potential of promoting pomposity in many state-of-art technologies, e. g., autonomous ground vehicles (AGVs).

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration

no code implementations13 May 2021 Gaetan Bakalli, Davide A. Cucci, Ahmed Radi, Naser El-Sheimy, Roberto Molinari, Olivier Scaillet, Stéphane Guerrier

While different techniques are available to model and remove the deterministic errors, there has been considerable research over the past years with respect to modelling the stochastic errors which have complex structures.

Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?

no code implementations13 Jul 2020 You Li, Ruizhi Chen, Xiaoji Niu, Yuan Zhuang, Zhouzheng Gao, Xin Hu, Naser El-Sheimy

Recently, the emergence of chip-level inertial sensors has expanded the relevant applications from positioning, navigation, and mobile mapping to location-based services, unmanned systems, and transportation big data.

Motion Estimation

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

no code implementations9 Apr 2020 You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy

However, it is challenging to use low-cost IoT devices for robust unsupervised localization (i. e., localization without training data that have known location labels).

reinforcement-learning

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

no code implementations7 Apr 2020 You Li, Yuan Zhuang, Xin Hu, Zhouzheng Gao, Jia Hu, Long Chen, Zhe He, Ling Pei, Kejie Chen, Maosong Wang, Xiaoji Niu, Ruizhi Chen, John Thompson, Fadhel Ghannouchi, Naser El-Sheimy

Compared to the related surveys, this paper has a more comprehensive and state-of-the-art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges.

Networking and Internet Architecture Signal Processing

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