Science Explorer Interactive view Map

Autonomous Vehicle Technology and Safety

Autonomous Vehicle Technology and Safety is a research topic within Automotive Engineering. Science Explorer counts 30k research works in it since 1956. 18.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the technology and safety systems related to autonomous vehicles, including trajectory prediction, driver assistance systems, lane detection, collision avoidance, pedestrian behavior analysis, sensor fusion, deep learning applications, urban driving challenges, and machine learning techniques.

  • Autonomous Vehicles
  • Trajectory Prediction
  • Driver Assistance Systems
  • Lane Detection
  • Collision Avoidance
  • Pedestrian Behavior
  • Sensor Fusion
  • Deep Learning
  • Urban Driving
  • Machine Learning
Research works
30k
fractional, since 1956
In the world top 10%
5.6k
per year above
Top-10% rate
18.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+144%
the tick is no change

Which countries lead Autonomous Vehicle Technology and Safety research?

By volume, China and the United States publish the most (4.3k and 1.5k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 4.3k works
  2. 2 United States 1.5k works
  3. 3 India 1.3k works
  4. 4 Germany 668 works
  5. 5 South Korea 420 works
  6. 6 Japan 386 works
  7. 7 United Kingdom 282 works
  8. 8 Italy 232 works
  9. 9 Canada 228 works
  10. 10 France 208 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: 45.6%United States: 15.6%India: 13.4%Germany: 7.0%6 others listed: 18.4%46%largest
China4,340 · 45.6%United States1,482 · 15.6%India1,273 · 13.4%Germany668 · 7.0%6 others listed1,756 · 18.4%

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

Which institutions lead Autonomous Vehicle Technology and Safety research?

By volume in 2022–2025, Tongji University publishes the most Autonomous Vehicle Technology and Safety research, followed by Tsinghua University and Beijing Institute of Technology.

Who are the leading researchers in Autonomous Vehicle Technology and Safety?

The most-cited researchers publishing on Autonomous Vehicle Technology and Safety include Dragomir Anguelov, Jitendra Malik and Deva Ramanan.

  1. 1 Dragomir Anguelov United States 18k citations
  2. 2 Jitendra Malik United States 12k citations
  3. 3 Deva Ramanan United States 11k citations
  4. 4 Sebastian Thrun United States 10k citations
  5. 5 Luc Van Gool Switzerland 8.5k citations
  6. 6 Ming–Hsuan Yang United States 7.4k citations
  7. 7 Bernt Schiele Germany 6.9k citations

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

Where is Autonomous Vehicle Technology and Safety research done?

The largest centres of Autonomous Vehicle Technology and Safety research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Xi'an (China). Among places with at least 20 works in it, it is an unusually large share of all research in Ingolstadt, Torrance and Dearborn.

Largest cities, 2022–2025

  1. 1 Beijing China 905 works
  2. 2 Shanghai China 456 works
  3. 3 Nanjing China 276 works
  4. 4 Xi'an China 242 works
  5. 5 Wuhan China 201 works
  6. 6 Chongqing China 183 works
  7. 7 Seoul South Korea 179 works
  8. 8 Chennai India 173 works
  9. 9 Tianjin China 153 works
  10. 10 Tokyo Japan 152 works

Where it is the local speciality

  1. IngolstadtDE · 25.1 works47×
  2. TorranceUS · 20.7 works27×
  3. DearbornUS · 20.1 works22×
  4. Changchun22.3 works20×
← less than its size predictsmore →

Location quotient: how much more of its research is in Autonomous Vehicle Technology and Safety than the world average.

See Autonomous Vehicle Technology and Safety on the map

Where is the best place to study Autonomous Vehicle Technology and Safety?

Among universities, judged by research, Nanyang Technological University, Tongji University and Tsinghua 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 25.42%fractional works in this node (log) →share in the world top 10% →Nanyang Technological University: 65, 42.2%Tongji University: 201, 17.9%Tsinghua University: 174, 25.2%Technical University of Munich: 69, 25.3%Southeast University: 101, 24.9%Cranfield University: 19, 28.5%Wuhan University of Technology: 87, 11.2%University of Central Florida: 22, 38.2%Technische Hochschule Ingolstadt: 22, 14.8%Hong Kong Polytechnic University: 36, 26.0%Nanyang Technologica…Technical University…Tsinghua UniversityTongji University
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Nanyang Technological UniversitySingapore 80.342.2%6.9×65 +267.4%
2 Tongji UniversityChina 74.017.9%13.3×201 +218.3%
3 Tsinghua UniversityChina 69.225.2%7.5×174 +161.0%
4 Technical University of MunichGermany 67.925.3%7.5×69 +259.6%
5 Southeast UniversityChina 65.324.9%6.4×101 +290.5%
6 Cranfield UniversityUnited Kingdom 64.828.5%11.9×19 +132.5%
7 Wuhan University of TechnologyChina 61.511.2%9.2×87 +217.4%
8 University of Central FloridaUnited States 60.438.2%5.0×22 +403.4%
9 Technische Hochschule IngolstadtGermany 58.614.8%60.1×22 +880.3%
10 Hong Kong Polytechnic UniversityHong Kong 57.726.0%3.5×36 +385.7%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Autonomous Vehicle Technology and Safety research growing?

Output in 2018–2022 was 144% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Autonomous Vehicle Technology and Safety.

19801990200020102020
grewheldshrank

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

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.