T. Bailey

7.5k citations

20 papers · 5.3k indexed · 2 hit papers · h-index 12

Impact in

Aerospace Engineering top 0.1%
- Robotics and Sensor-Based Localization
Geology top 0.5%
- 3D Surveying and Cultural Heritage

Papers in ⓘ

Aerospace Engineering 13
- Robotics and Sensor-Based Localization 10
- Infrared Target Detection Methodologies 3
Computer Vision and Pattern Recognition 6
- Robotic Path Planning Algorithms 3

Co-authors: Hugh Durrant‐Whyte (8 shared papers)E. Nebot (5 shared papers)Gamini Dissanayake (1 shared paper)Juan Nieto (3 shared papers)J.K. Rosenblatt (1 shared paper)James Underwood (2 shared papers)Ben Upcroft (3 shared papers)J. C. Vial (1 shared paper)
Journals: IEEE Robotics & Automation Magazine (2 papers)IEEE Transactions on Electron Devices (1 paper)Queensland's institutional digital repository (The University of Queensland) (1 paper)2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)
Partner nations: Australia United Kingdom Sweden

In The Last Decade

T. Bailey

20 papers receiving 5.0k citations

Hit Papers

align trajectories log scale

Simultaneous localization and mapping: part I 2006 · 2.8k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2006 IEEE Robotics & Automation Magazine
2006 IEEE Robotics & Automation Magazine

Peers

Countries citing papers authored by T. Bailey

Since Specialization

Citations

This map shows the geographic impact of T. Bailey's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. Bailey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Bailey more than expected).

Fields of papers citing papers by T. Bailey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Bailey. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. Bailey. The network helps show where T. Bailey may publish in the future.

Co-authors

The 25 scholars most cited alongside T. Bailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Bailey Line = papers co-authored together T. Bailey links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Simultaneous localization and mapping: part I IEEE Robotics & Automation Magazine ·Hugh Durrant‐Whyte, T. Bailey Hit paper breakdown →	2006	2799
2	Simultaneous localization and mapping (SLAM): part II IEEE Robotics & Automation Magazine ·T. Bailey, Hugh Durrant‐Whyte Hit paper breakdown →	2006	1810
3	A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem Gamini Dissanayake, Hugh Durrant‐Whyte, T. Bailey	2002	167
4	Consistency of the FastSLAM algorithm T. Bailey, Juan Nieto, E. Nebot	2006	144
5	Data association for mobile robot navigation: a graph theoretic approach T. Bailey, E. Nebot, J.K. Rosenblatt, Hugh Durrant‐Whyte	2002	85
6	Constrained initialisation for bearing-only SLAM T. Bailey	2003	75
7	Scan segments matching for pairwise 3D alignment Bertrand Douillard, A. Quadros, P. Morton, James Underwood, Mark De Deuge, S. Hugosson, M. Hallstrom, T. Bailey	2012	40
8	Explicit 3D change detection using ray-tracing in spherical coordinates James Underwood, David Gillsjö, T. Bailey, V. Vlaskine	2013	34
9	Decentralised particle filtering for multiple target tracking in wireless sensor networks Queensland's institutional digital repository (The University of Queensland) ·L-L. Ong, T. Bailey, Hugh Durrant‐Whyte, Ben Upcroft	2008	27
10	Rich probabilistic representations for bearing only decentralised data fusion Ben Upcroft, Lee‐Ling Sharon Ong, Suresh Kumar, Matthew Ridley, T. Bailey, Salah Sukkarieh, Hugh Durrant‐Whyte	2005	26
11	Conservative sparsification for efficient and consistent approximate estimation 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems ·J. C. Vial, Hugh Durrant‐Whyte, T. Bailey	2011	23
12	Integrated Sensing Framework for 3D Mapping in Outdoor Navigation Román Katz, Narek Melkumyan, José Guivant, T. Bailey, Juan Nieto, E. Nebot	2006	11
13	A CMOS image sensor with a double-junction active pixel IEEE Transactions on Electron Devices ·Keith Findlater, D. Renshaw, Jed Hurwitz, Robert K. Henderson, Michael Purcell, S.G. Smith, T. Bailey	2003	11
14	A 90nm CMOS Dual-Channel Powerline Communication AFE for Homeplug AV with a Gb Extension Keith Findlater, T. Bailey, A. Bofill, Nei Calder, Seyed Danesh, Robert K. Henderson, William R. Holland, Jed Hurwitz, S. Maughan, Alasdair Sutherland, Ewan Watt	2008	10
15	A Comparison of Probabilistic Representations for Decentralised Data Fusion Lee‐Ling Sharon Ong, Matthew Ridley, Ben Upcroft, S. Srinivas Kumar, T. Bailey, Salah Sukkarieh, Hugh Durrant‐Whyte	2005	9
16	Probabilistic road geometry estimation using a millimetre-wave radar 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems ·A. Hernandez-Gutierrez, Juan Nieto, T. Bailey, E. Nebot	2011	8
17	A 35 mm film format CMOS image sensor for camera-back applications 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) ·Jed Hurwitz, M. Panaghiston, Keith Findlater, Robert K. Henderson, T. Bailey, Andrew Holmes, Brian Paisley	2003	3
18	Behaviour-Based Docking using the DAMN Arbiter T. Bailey, E. Nebot	2008	3
19	Non-parametric learning to aid path planning over slopes Sisir Karumanchi, Trevor Allen, T. Bailey, Steve Scheding	2009	3
20	A CMOS image sensor employing a double junction photo-diode Keith Findlater, D. Renshaw, Jed Hurwitz, Robert K. Henderson, T. Bailey, S.G. Smith, Michael Purcell, Jeffrey M. Raynor	2001	2

About T. Bailey

T. Bailey is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Geology, having authored 20 papers that have together received 5.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), CCD and CMOS Imaging Sensors (3 papers), Robotic Path Planning Algorithms (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Infrared Target Detection Methodologies (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Aerospace Engineering (4.2k citations), Geology (730 citations), Computer Vision and Pattern Recognition (2.7k citations), Ocean Engineering (847 citations) and Electrical and Electronic Engineering (1.8k citations). T. Bailey has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Hugh Durrant‐Whyte, E. Nebot, Gamini Dissanayake, Juan Nieto, J.K. Rosenblatt, James Underwood, Ben Upcroft, J. C. Vial, Lee‐Ling Sharon Ong and Salah Sukkarieh. Their work appears in journals such as IEEE Robotics & Automation Magazine, IEEE Transactions on Electron Devices, Queensland's institutional digital repository (The University of Queensland), 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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