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. 9.7% 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%
- 2.9k per year above
- Top-10% rate
- 9.7% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +75% the tick is no change
- Largest producer
China
47% of the 10 largest, 2022-now
Which countries lead Autonomous Vehicle Technology and Safety research?
By volume, China and the United States publish the most (5.2k and 1.7k works in 2022-now).
By volume, 2022-now
- 1
China 5.2k works
- 2
United States 1.7k works
- 3
India 1.5k works
- 4
Germany 747 works
- 5
South Korea 473 works
- 6
Japan 422 works
- 7
United Kingdom 322 works
- 8
Italy 262 works
- 9
Canada 254 works
- 10
France 223 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.
Shares of the rows listed above, not of the whole node.
Which institutions lead Autonomous Vehicle Technology and Safety research?
By volume in 2022-now, Tongji University publishes the most Autonomous Vehicle Technology and Safety research, followed by Tsinghua University and Beijing Institute of Technology.
By volume, 2022-now
- 1
Tongji University
China 224 works
- 2
Tsinghua University
China 193 works
- 3
Beijing Institute of Technology
China 132 works
- 4
Jilin University
China 128 works
- 5
Southeast University
China 119 works
- 6
Chinese Academy of Sciences
China 114 works
- 7
Chang'an University
China 101 works
- 8
Beihang University
China 100 works
- 9
Wuhan University of Technology
China 99 works
- 10
Shanghai Jiao Tong University
China 85 works
Who are the leading researchers in Autonomous Vehicle Technology and Safety?
The most-cited researchers publishing on Autonomous Vehicle Technology and Safety include Xiangyu Zhang, Xiaogang Wang and Andrew Zisserman.
- 1 Xiangyu Zhang 327k citations
- 2
Xiaogang Wang
China 260k citations
- 3
Andrew Zisserman
United Kingdom 255k citations
- 4
Li Fei-Fei
United States 225k citations
- 5
Kai You Wang
China 224k citations
- 6
L. Li
France 211k citations
- 7
Trevor J. Darrell
United States 206k citations
- 8
Qiang Zhang
China 184k citations
- 9
Luc Van Gool
Switzerland 177k 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-now 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-now
Where it is the local speciality
- IngolstadtDE · 27.4 works47×
- TorranceUS · 21.3 works24×
- DearbornUS · 22.4 works22×
- Changchun23.0 works19×
Location quotient: how much more of its research is in Autonomous Vehicle Technology and Safety than the world average.
Where is the best place to study Autonomous Vehicle Technology and Safety?
Among universities, judged by research, Nanyang Technological University, Tsinghua University and Tongji 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.
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.
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 Autonomous Vehicle Technology and Safety, country by countryIs Autonomous Vehicle Technology and Safety research growing?
Output in 2022-2025 was 75% higher than in 2018-2021, peaking in 2025. The fastest-growing topics are Autonomous Vehicle Technology and Safety.
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 Autonomous Vehicle Technology and Safety as a percentage of every work published that year, 0.059% in 2024.
Fractional works of Autonomous Vehicle Technology and Safety 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.
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.
Questions people ask
Who leads self-driving car research?
By volume in 2022-now, Tongji University publishes the most Autonomous Vehicle Technology and Safety research, followed by Tsinghua University and Beijing Institute of Technology. By volume, China and the United States publish the most (5.2k and 1.7k works in 2022-now).
Discussion
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