Shiwen Wang

Orcid: 0009-0009-0896-0288

Affiliations:
  • School of Geodesy and Geomatics, Wuhan University, Wuhan, China


According to our database1, Shiwen Wang authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2025
RIs-Calib: An Open-Source Spatiotemporal Calibrator for Multiple 3-D Radars and IMUs Based on Continuous-Time Estimation.
IEEE Trans. Instrum. Meas., 2025

Accurate and automatic spatiotemporal calibration for multi-modal sensor system based on continuous-time optimization.
Inf. Fusion, 2025

2024
Continuous-Time LiDAR/IMU/Radar Odometry for Accurate and Smooth State Estimation via Tightly Coupled Integration.
IEEE Internet Things J., December, 2024

MI-Calib: An Open-Source Spatiotemporal Calibrator for Multiple IMUs Based on Continuous-Time Batch Optimization.
IEEE Robotics Autom. Lett., September, 2024

River: A Tightly-Coupled Radar-Inertial Velocity Estimator Based on Continuous-Time Optimization.
IEEE Robotics Autom. Lett., July, 2024

Targetless Spatiotemporal Calibration of Multi-LiDAR Multi-IMU System Based on Continuous-Time Optimization.
IEEE Trans. Ind. Informatics, May, 2024

Accuracy- and Simplicity-Oriented Self-Calibration Approach for In-Vehicle GNSS/INS/Vision System With Observability Analysis.
IEEE Trans. Intell. Transp. Syst., March, 2024

Two-Step LiDAR/Camera/IMU Spatial and Temporal Calibration Based on Continuous-Time Trajectory Estimation.
IEEE Trans. Ind. Electron., March, 2024

RIs-Calib: An Open-Source Spatiotemporal Calibrator for Multiple 3D Radars and IMUs Based on Continuous-Time Estimation.
CoRR, 2024

2023
Enhancing RTK Performance in Urban Environments by Tightly Integrating INS and LiDAR.
IEEE Trans. Veh. Technol., August, 2023

Targetless Spatiotemporal Calibration for Multiple Heterogeneous Cameras and IMUs Based on Continuous-Time Trajectory Estimation.
IEEE Trans. Instrum. Meas., 2023

2022
Tightly Coupled Integration of GNSS, INS, and LiDAR for Vehicle Navigation in Urban Environments.
IEEE Internet Things J., 2022


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