Yufeng Liu

Aerospace Engineering · with Durrant-Whyte · 2004

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 12 citations into it; #3,230 of 6,421 by trust here, #2,367 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it; #21,181 of 35,345 by trust here, #16,471 by citations
• Electrical and Electronic Engineering — 6 citations into it; #7,387 of 16,539 by trust here, #7,892 by citations

Whom Yufeng Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sebastian Thrun
2. Michael Montemerlo
3. Dirk Hähnel
4. Yair Weiss
5. José E. Guivant
6. Wolfram Burgard
7. Juan D. Tardós
8. John J. Leonard

Who trusts Yufeng Liu overall

1. Giorgio Grisetti
2. Andrew Howard
3. H. F. Durrant-Whyte
4. Sajad Saeedi
5. Ryan M. Eustice
6. Andreas Nüchter
7. Dhiraj Gandhi

Papers from Yufeng Liu's perspective

Ordered by how strongly the researchers Yufeng Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Mobile Robot Localisation and Mapping in Extensive Outdoor Environments
2. Estimating uncertain spatial relationships in robotics
3. A Probabilistic On-Line Mapping Algorithm for Teams of Mobile Robots (Int. J. Robotics Res.)
4. Optimization of the simultaneous localization and map-building algorithm for real-time implementation (IEEE Trans. Robotics Autom.)
5. FastSLAM: a factored solution to the simultaneous localization and mapping problem (AAAI/IAAI)
6. Information Theory: 1948-1998 - Guest Editorial
7. Robust Mapping and Localization in Indoor Environments Using Sonar Data (Int. J. Robotics Res.)
8. Collaborative multi-robot exploration (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
9. A system for volumetric robotic mapping of abandoned mines (IEEE International Conference on Robotics and Automation)
10. A Computationally Efficient Method for Large-Scale Concurrent Mapping and Localization

Their papers

• Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004) — 786 citations