Yiduo Wang

Orcid: 0000-0003-2975-2882

Affiliations:
  • Oxford Robotics Institute, University of Oxford, UK


According to our database1, Yiduo Wang authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DynoJEPP: Joint Estimation, Prediction and Planning in Dynamic Environments.
CoRR, May, 2026

Online Dynamic SLAM With Incremental Smoothing and Mapping.
IEEE Robotics Autom. Lett., March, 2026

DynoSAM: Open-Source Smoothing and Mapping Framework for Dynamic SLAM.
IEEE Trans. Robotics, 2026

2025
DynORecon: Dynamic Object Reconstruction for Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
The Importance of Coordinate Frames in Dynamic SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2022
Strategies for large scale elastic and semantic LiDAR reconstruction.
Robotics Auton. Syst., 2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis.
Proceedings of the 10th European Conference on Mobile Robots, 2021

2020
Exploiting Semantic and Public Prior Information in MonoSLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Actively Mapping Industrial Structures with Information Gain-Based Planning on a Quadruped Robot.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020


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