Changhui Jiang (蒋长辉)
Changhui Jiang (蒋长辉)
Ďalšie menáJiang Changhui
Overená e-mailová adresa na:
Citované v
Citované v
UWB NLOS/LOS Classification Using Deep Learning Method
Changhui Jiang, Jichun Shen, Shuai Chen*, Yuwei Chen*, Di Liu, Yuming Bo
IEEE Communications Letters, 2020
A MEMS IMU de-noising method using long short term memory recurrent neural networks (LSTM-RNN)
C Jiang, S Chen, Y Chen, B Zhang, Z Feng, H Zhou, Y Bo
Sensors 18 (10), 3470, 2018
The accuracy comparison of three simultaneous localization and mapping (SLAM)-based indoor mapping technologies
Y Chen, J Tang, C Jiang*, L Zhu, M Lehtomäki, H Kaartinen, R Kaijaluoto, ...
Sensors 18 (10), 3228, 2018
A mixed deep recurrent neural network for MEMS gyroscope noise suppressing
C Jiang, Y Chen, S Chen, Y Bo, W Li, W Tian, J Guo
Electronics 8 (2), 181, 2019
A 10-nm Spectral Resolution Hyperspectral LiDAR System Based on an Acousto-Optic Tunable Filter
Y Chen, W Li, J Hyyppä, N Wang, C Jiang, F Meng, L Tang, E Puttonen, ...
Sensors 19 (7), 1620, 2019
A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization
S Chen, B Zhou, C Jiang, W Xue, Q Li
Remote Sensing, 2021
An UWB Channel Impulse Response De-noising Method for NLOS/LOS Classification Boosting
C Jiang, S Chen, Y Chen*, D Liu, Y Bo
IEEE Communications Letters, 2020
Feasibility study of ore classification using active hyperspectral LiDAR
Y Chen, C Jiang*, J Hyyppä, S Qiu, Z Wang, M Tian, W Li, E Puttonen, ...
IEEE Geoscience and Remote Sensing Letters 15 (11), 1785-1789, 2018
NDT-LOAM: A Real-time Lidar odometry and mapping with weighted NDT and LFA
S Chen, H Ma, C Jiang, B Zhou, W Xue, Z Xiao, Q Li
IEEE Sensors Journal, 2022
Tradeoffs in the spatial and spectral resolution of airborne hyperspectral imaging systems: A crop identification case study
J Jia, J Chen, X Zheng, Y Wang, S Guo, H Sun, C Jiang, M Karjalainen, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2021
A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification
Hui Shao, Yuwei Chen, Zirong Yang, Changhui Jiang, Wei Li, Haohao Wu,Zhijie ...
IEEE Geoscience and Remote Sensing Letters, 2019
Performance analysis of a deep simple recurrent unit recurrent neural network (SRU-RNN) in MEMS gyroscope de-noising
C Jiang, S Chen, Y Chen, Y Bo, L Han, J Guo, Z Feng, H Zhou
Sensors 18 (12), 4471, 2018
Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameters Extraction
C Jiang, Y Chen*, H Wu, W Li, H Zhou, Y Bo, H Shao, S Song, E Puttonen, ...
Remote Sensing 11 (17), 2007, 2019
A liquid crystal tunable filter-based hyperspectral LiDAR system and its application on vegetation red edge detection
W Li, C Jiang, Y Chen, J Hyyppä, L Tang, C Li, SW Wang
IEEE geoscience and remote sensing letters 16 (2), 291-295, 2018
Implementation and Performance Analysis of PDR/GNSS Integration on a Smartphone
C Jiang, Y Chen*, C Chen, J Jia, H Sun, T Wang, J Hyyppa
GPS Solutions, 2022
Feasibility study on hyperspectral LiDAR for ancient Huizhou-style architecture preservation
H Shao, Y Chen, Z Yang, C Jiang, W Li, H Wu, S Wang, F Yang, J Chen, ...
Remote Sensing 12 (1), 88, 2019
Smartphone PDR/GNSS Integration via Factor Graph Optimization for Pedestrian Navigation
C Jiang, Y Chen*, C Chen, J Jia, H Sun, T Wang, J Hyyppa
IEEE Transactions on Instrumentation and Measurement, 2022
Review on active and passive remote sensing techniques for road extraction
J Jia, H Sun, C Jiang, K Karila, M Karjalainen, E Ahokas, E Khoramshahi, ...
Remote Sensing 13 (21), 4235, 2021
Probabilistic Approach to Detect and Correct GNSS NLOS Signals Using an Augmented State Vector in the Extended Kalman Filter
C Jiang, B Xu, LT Hsu
GPS Solutions, 2021
A MEMS Gyroscope Noise Suppressing Method Using Neural Architecture Search Neural Network
Z Zhu, Y Bo, C Jiang*
Mathematical Problems in Engineering, 2019
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Články 1–20