194 citations · 468 across the 9 of their papers we have counts for
9 papers
SmartFPS: Neural Network based Wireless-inertial fusion positioning system
Luchi Hua, Jun Yang
The current fusion positioning systems are mainly based on filtering algorithms, such as Kalman filtering or particle filtering. However, the system complexity of practical applica…
Observability Analysis and Keyframe-Based Filtering for Visual Inertial Odometry with Full Self-Calibration
Jianzhu Huai, Yukai Lin, Yuan Zhuang +2
Camera-IMU (Inertial Measurement Unit) sensor fusion has been extensively studied in recent decades. Numerous observability analysis and fusion schemes for motion estimation with s…
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera-IMU System
Jianzhu Huai, Yuan Zhuang, Qicheng Yuan +1
The rolling shutter (RS) mechanism is widely used by consumer-grade cameras, which are essential parts in smartphones and autonomous vehicles. The RS effect leads to image distorti…
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
Jianzhu Huai, Yukai Lin, Yuan Zhuang +1
State estimation problems without absolute position measurements routinely arise in navigation of unmanned aerial vehicles, autonomous ground vehicles, etc., whose proper operation…
A Versatile Keyframe-Based Structureless Filter for Visual Inertial Odometry
Jianzhu Huai, Yukai Lin, Charles Toth +2
Motion estimation by fusing data from at least a camera and an Inertial Measurement Unit (IMU) enables many applications in robotics. However, among the multitude of Visual Inertia…
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…
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…