194 citations · 564 across the 8 of their papers we have counts for
9 papers
Combining General and Domain-Specific Pretext Tasks for Brain MR Image Segmentation
Tasneem Nasser, Susanne Schmid, Roberto Souza +1
A key challenge in medical image analysis is the scarcity of large annotated datasets for specific populations and diseases. As deep learning models rely heavily on labeled data, e…
High-Accuracy Absolute-Position-Aided Code Phase Tracking Based on RTK/INS Deep Integration in Challenging Static Scenarios
Yiran Luo, Li-Ta Hsu, Yang Jiang +4
Many multi-sensor navigation systems urgently demand accurate positioning initialization from global navigation satellite systems (GNSSs) in challenging static scenarios. However,…
Supporting GNSS Baseband Using Smartphone IMU and Ultra-Tight Integration
Yiran Luo, You Li, Jin Wang +1
A great surge in the development of global navigation satellite systems (GNSS) excavates the potential for prosperity in many state-of-the-art technologies, e.g., autonomous ground…
Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration
Gaetan Bakalli, Davide A. Cucci, Ahmed Radi +4
Inertial sensor calibration plays a progressively important role in many areas of research among which navigation engineering. By performing this task accurately, it is possible to…
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…
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…
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…
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…
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…