Crash Detection Professors in Global

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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
computer vision
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Robert Thomson
Chalmers University of Technology Sweden
crash testing
accident analysis
vehicle safety
road traffic safety
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Maria Amer
Concordia University Canada
object detection
object tracking
computer vision
activity recognition
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
computer vision
visual tracking
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
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Dominique Lord
Texas A&M University United States of America
crash data analysis
crash risk
traffic safety
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Guofei Gu
Texas A&M University United States of America
anomaly detection
intrusion detection
botnet detection
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
computer vision
face recognition
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
fraud detection
outlier detection
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John Canny
University of California, Berkeley United States of America
edge detection
computer vision
motion sensing
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Julian Kooij
Delft University of Technology Netherlands
3d object detection
computer vision
trajectory forecasting
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Kavita Bala
Cornell University Netherlands
visual search detection
material recognition
computer vision
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Steffen Müller
Technical University of Berlin Germany
accident research
vehicle safety
automated driving
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Muhammad Hussain
University of Western Australia Australia
accident analysis
road safety
traffic modeling
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Birsen Donmez
University of Toronto Canada
driver safety
driver distraction
driving automation
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Mehrdad Saif
University of Windsor Canada
fault detection
attack detection
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Christian Maack
Aalborg University Denmark
fault detection
anomaly detection
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J.c. Van Gemert
Delft University of Technology Netherlands
detection
pattern recognition
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Xuelian Cheng
Monash University Australia
object detection
computer vision
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Nils Lübbe
Chalmers University of Technology Sweden
crash analysis
vehicle safety
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G. Englebienne
University of Twente Netherlands
detection
activity recognition
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