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Using Extreme Value Theory for Vehicle Level Safety Validation and Implications for Autonomous Vehicles

  • Published:2017-12 Issue:4 Volume:2 Page:288-297
  • ISSN:2379-8904
  • Container-title:IEEE Transactions on Intelligent Vehicles
  • language:
  • Short-container-title:IEEE Trans. Intell. Veh.

Author:

Asljung DanielORCID,Nilsson JonasORCID,Fredriksson JonasORCID

Funder

Swedish Automotive Research Program FFI—Traffic Safety and Automated Vehicles

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

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1. Stochastic method based on copulas for predicting severe road traffic interactions;Analytic Methods in Accident Research;2024-12

2. A Novel Approach for the Safety Validation of Emergency Intervention Functions Using Extreme Value Estimation;SAE Technical Paper Series;2024-07-02

3. Safety Evaluation and Influential Factor Analysis of Urban Expressway Diversion Areas Based on Non-Stationary Conflict Extremes;Transportation Research Record: Journal of the Transportation Research Board;2024-06-11

4. Real Time Analysis of Self-Driving Vehicles using Computer Vision;International Journal of Advanced Research in Science, Communication and Technology;2024-06-10

5. Overcoming Blind Spots: Occlusion Considerations for Improved Autonomous Driving Safety;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
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