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Topic · Aerospace Engineering

Robotics and Sensor-Based Localization

Robotics and Sensor-Based Localization is a research topic within Aerospace Engineering. Science Explorer counts 60k research works in it since 1950. 9.7% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on Simultaneous Localization and Mapping (SLAM) techniques, including visual odometry, 3D mapping, and graph optimization for mobile robots and autonomous systems. It covers various aspects such as monocular SLAM, RGB-D cameras, point cloud processing, and real-time implementation for accurate localization and mapping.

  • SLAM
  • 3D Mapping
  • Visual Odometry
  • Robotics
  • Localization
  • Point Cloud
  • Monocular SLAM
  • RGB-D Cameras
  • Graph Optimization
  • Mobile Robots
Research works
60k
fractional, since 1950
In the world top 10%
5.8k
per year above
Top-10% rate
9.7%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+37%
the tick is no change
Largest producer
China
62% of the 10 largest, 2022-now
Robotics and Sensor-Based Localization

Which countries lead Robotics and Sensor-Based Localization research?

By volume, China and the United States publish the most (8.3k and 1.6k works in 2022-now).

By volume, 2022-now

  1. 1 China 8.3k works
  2. 2 United States 1.6k works
  3. 3 India 620 works
  4. 4 Japan 611 works
  5. 5 South Korea 598 works
  6. 6 Germany 549 works
  7. 7 United Kingdom 384 works
  8. 8 Italy 353 works
  9. 9 Canada 261 works
  10. 10 France 244 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 61.6%United States: 11.6%India: 4.6%Japan: 4.5%6 others listed: 17.7%62%largest
China8,323 · 61.6%United States1,567 · 11.6%India620 · 4.6%Japan611 · 4.5%6 others listed2,390 · 17.7%

Shares of the rows listed above, not of the whole node.

Which institutions lead Robotics and Sensor-Based Localization research?

By volume in 2022-now, Chinese Academy of Sciences publishes the most Robotics and Sensor-Based Localization research, followed by Beijing Institute of Technology and National University of Defense Technology.

By volume, 2022-now

  1. 1 Chinese Academy of SciencesChina 342 works
  2. 2 Beijing Institute of TechnologyChina 192 works
  3. 3 National University of Defense TechnologyChina 176 works
  4. 4 Beihang UniversityChina 172 works
  5. 5 Harbin Institute of TechnologyChina 171 works
  6. 6 Shanghai Jiao Tong UniversityChina 170 works
  7. 7 Northwestern Polytechnical UniversityChina 156 works
  8. 8 Wuhan UniversityChina 155 works
  9. 9 Zhejiang UniversityChina 151 works
  10. 10 Nanjing University of Aeronautics and AstronauticsChina 134 works

Who are the leading researchers in Robotics and Sensor-Based Localization?

The most-cited researchers publishing on Robotics and Sensor-Based Localization include Ross Girshick, Xiangyu Zhang and Jian Sun.

  1. 1 Ross Girshick Israel 356k citations
  2. 2 Xiangyu Zhang 327k citations
  3. 3 Jian Sun 281k citations
  4. 4 Xiaogang Wang China 260k citations
  5. 5 Yann LeCun United States 256k citations
  6. 6 Andrew Zisserman United Kingdom 255k citations
  7. 7 Li Fei-Fei United States 225k citations
  8. 8 Kai You Wang China 224k citations
  9. 9 Stephen M. Smith United Kingdom 214k citations
  10. 10 Piotr Dollár Israel 211k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

What are the most cited papers in Robotics and Sensor-Based Localization?

The most cited paper in Robotics and Sensor-Based Localization is "Distinctive Image Features from Scale-Invariant Keypoints" (David G. Lowe, 2004), with 56,041 citations. Next come "Random sample consensus" (26,036) and "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs" (22,754).

Most cited papers
#PaperReleasedCitations
1 Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe · International Journal of Computer Vision 2 Jun 2004 56,041
2 Random sample consensus Martin A. Fischler, Robert C. Bolles · Communications of the ACM Open access Jun 1981 26,036
3 DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 27 Apr 2017 22,754
4 A method for registration of 3-D shapes Paul J. Besl, Neil David McKay · IEEE Transactions on Pattern Analysis and Machine Intelligence Feb 1992 18,308
5 Snakes: Active contour models Michael Kass, Andrew Witkin, Demetri Terzopoulos · International Journal of Computer Vision 1988 17,142
All 100 most cited papers, with filters and sorting

Where is Robotics and Sensor-Based Localization research done?

The largest centres of Robotics and Sensor-Based Localization research in 2022-now are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China).

Largest cities, 2022-now

  1. 1 BeijingChina 1.6k works
  2. 2 ShanghaiChina 657 works
  3. 3 NanjingChina 524 works
  4. 4 Xi'anChina 503 works
  5. 5 WuhanChina 497 works
  6. 6 HangzhouChina 315 works
  7. 7 ChangshaChina 303 works
  8. 8 GuangzhouChina 300 works
  9. 9 HarbinChina 291 works
  10. 10 SeoulSouth Korea 244 works
See Robotics and Sensor-Based Localization on the map

Where is the best place to study Robotics and Sensor-Based Localization?

Among universities, judged by research, University of Hong Kong, Hong Kong University of Science and Technology and Wuhan University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 23.24%fractional works in this field (log) →share of work in the world top 10% →University of Hong K…Hong Kong University…Nanyang Technologica…Wuhan University
above the meannear itbelow it

One dot per university in the first ten of the table below, at the default weights. The upper left is the interesting corner: small places doing unusually strong work.

Excellenceshare of its work in the world top 10%, 2022-now and all time averaged
40%
Specialisationhow much of its work is in this field, counted up to 10× the world share
10%
Sizeits output in this field, on a log scale
30%
Growthoutput growth, counted from -20% to +20%
10%
Internationalshare of its work with a co-author abroad
10%
Each slider sets a weight; the share it gets of the score is beside it.
#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Hong KongChina 78.535.7%3.6×48 +142.9%
2Hong Kong University of Science and TechnologyChina 72.426.8%7.2×42 +11.9%
3Wuhan UniversityChina 68.017.9%7.6×155 +63.7%
4Nanyang Technological UniversitySingapore 66.420.5%6.2×71 +41.4%
5ETH ZurichSwitzerland 65.125.7%4.0×40 -29.3%
6Zhejiang UniversityChina 64.916.7%3.9×151 +71.8%
7Hong Kong Polytechnic UniversityChina 63.717.6%4.5×55 +67.2%
8University of BonnGermany 62.823.3%5.2×34 +27.4%
9University of OxfordUnited Kingdom 61.634.1%1.2×23 -6.2%
10Tsinghua UniversityChina 61.014.1%4.1×134 +43.2%

Universities only. The score blends excellence (40%), size (30%), specialisation (10%), growth (10%), international reach (10%), 2022-now; growth compares 2018-21 with 2022-25 and counts up to +20%, since a jump from a small base is mostly noise.

Every institution in Robotics and Sensor-Based Localization, country by country

Is Robotics and Sensor-Based Localization research growing?

Output in 2022-2025 was 37% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Robotics and Sensor-Based Localization.

still counting19801990200020102020
grewheldshrank

The same series as a ribbon: one cell per year, darker for more. The line above answers how much; this answers when.

Its share of all research

Growing output can still be a shrinking share: all of science grows. This is Robotics and Sensor-Based Localization as a percentage of every work published that year, 0.070% in 2024.

still counting0.050%0.10%Robotics and Sensor-Based Localization0.072% in 202519801990200020102020

Fractional works of Robotics and Sensor-Based Localization over all fractional works that year. How the balance of science has shifted.

How much of it reaches the world top 10%

Year by year.

still counting5%10%15%Robotics and Sensor-Based Localization9.6% in 2025200020102020

Of each year's works in it, the share that reached the world's 10% most cited for their field and year. A field is the world for its own topics, so there is no other line to hold it against.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.

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