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End-to-End Autonomous Driving Risk Analysis: A Behavioural Anomaly Detection Approach
Cian Ryan
,
Finbarr Murphy
,
Martin Mullins
Centre for Emerging Risk Studies
Centre for Research Training in Foundations of Data Science
Department of Accounting & Finance
Lero – the Research Ireland Centre for Software
University of Limerick
Research output
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Engineering
Vehicle Accident
100%
Anomaly Detection
100%
Human Driver
100%
Gaussians
50%
Machine Learning Technique
50%
Past Decade
50%
Starting Point
50%
Highway Accidents
50%
Vehicle Safety
50%
Convolutional Neural Network
50%
Computer Science
Autonomous Vehicles
100%
Anomaly Detection
100%
Autonomous Driving
100%
Risk Analysis
100%
Driving Behavior
33%
Convolutional Neural Network
11%
Benchmarking
11%
Machine Learning Technique
11%
Starting Point
11%
Social Sciences
Autonomous Vehicles
100%
Risk Analysis
100%
Autonomous Driving
100%
Driving Behavior
33%
Accident Risk
22%
Learning Method
11%
Risk Modeling
11%
Neural Network
11%
Chemical Engineering
Learning System
100%
Neural Network
100%
Medicine and Dentistry
Relative Risk Reduction
100%