194 citations · 485 across the 8 of their papers we have counts for
8 papers
Carrier Phase Ranging for Indoor Positioning with 5G NR Signals
Liang Chen, Xin Zhou, Feifei Chen +2
Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial intelligence (AI), and is expected to play a significant role in the upcoming era of A…
Signal Acquisition of Luojia-1A Low Earth Orbit Navigation Augmentation System with Software Defined Receiver
Liang Chen, Xiangchen Lu, Nan Shen +5
Low earth orbit (LEO) satellite navigation signal can be used as an opportunity signal in case of a Global navigation satellite system (GNSS) outage, or as an enhancement means of…
Model-based 3D Hand Reconstruction via Self-Supervised Learning
Yujin Chen, Zhigang Tu, Di Kang +5
Reconstructing a 3D hand from a single-view RGB image is challenging due to various hand configurations and depth ambiguity. To reliably reconstruct a 3D hand from a monocular imag…
Decoding PPP Corrections from BDS B2b Signals Using a Software-defined Receiver: an Initial Performance Evaluation
Xiangchen Lu, Liang Chen, Nan Shen +3
With the rapid development of China's BeiDou Navigation Satellite System(BDS), the application of real-time precise point positioning (RTPPP) based on BDS has become an active rese…
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…
Joint Hand-object 3D Reconstruction from a Single Image with Cross-branch Feature Fusion
Yujin Chen, Zhigang Tu, Di Kang +4
Accurate 3D reconstruction of the hand and object shape from a hand-object image is important for understanding human-object interaction as well as human daily activities. Differen…
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…
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Deyu Yin, Qian Zhang, Jingbin Liu +6
As an important technology in 3D mapping, autonomous driving, and robot navigation, LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised deep lea…