Ruizhi Chen
Wuhan University
300 Papers
1.1K Citations
Ruizhi Chen is an academic researcher from Wuhan University. The author has contributed to research in topics: Computer science & GNSS applications. The author has an hindex of 34, co-authored 224 publications. Previous affiliations of Ruizhi Chen include Finnish Geodetic Institute & National Research Council.
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Papers
A Benchmark of Absolute and Relative Positioning Solutions in GNSS Denied Environments
Haiyun Yao,Xinlian Liang,Ruizhi Chen,Xiaochen Wang,Hanwen Qi,Liang Chen,Yunsheng Wang +6 more
TL;DR: It was revealed that all relative positioning solutions accumulate positioning errors over time, and LIDAR is presented to be the most robust solution for relative positioning.
Initial Assessment of the LEO Based Navigation Signal Augmentation System from Luojia-1A Satellite.
Lei Wang,Ruizhi Chen,Deren Li,Guo Zhang,Xin Shen,Baoguo Yu,Cailun Wu,Song Xie,Peng Zhang,Ming Li,Yuanjin Pan +10 more
TL;DR: The Luojia-1A Navigation augmentation system is capable of providing useable LEO navigation augmentation signals with the empirical user equivalent ranging error (UERE) no worse than 3.6 m, which can be integrated with existing GNSS to improve the real-time navigation performance.
CrowdLOC-S: Crowdsourced Seamless Localization Framework Based on CNN-LSTM-MLP Enhanced Quality Indicator
Tao Feng,Yu Liu,Yue Yu,Liang Chen,Ruizhi Chen +4 more
TL;DR: This paper presents CrowdLOC-S, a crowdsourced seamless localization framework that combines Wi-Fi fingerprinting, GNSS, and low-cost sensors to provide accurate indoor/outdoor localization, leveraging a hybrid CNN-LSTM-MLP quality indicator and transfer learning for efficient and precise positioning in complex urban environments.
Multi-Frequency BDS-3 Real-Time Positioning Performance Assessment Using New PPP-B2b Augmentation Service
TL;DR: In this paper , a new precise point positioning augmentation service broadcast by the BeiDou Navigation Satellite System (BDS-3) geosynchronous Earth orbit (GEO) satellite can provide real-time and high-precision orbit and clock offset corrections for global navigation satellite system (GNSS) users in China and its surrounding areas.
TSA-SCC: Text Semantic-Aware Screen Content Coding With Ultra Low Bitrate
TL;DR: This paper proposes a general text semantic-aware screen content coding scheme (TSA-SCC), which achieves much better visual quality with less bitrate consumption when encoding the screen content video/image at ultra low bitrates.