Cut-Out Scenario Generation With Reasonability Foreseeable Parameter Range From Real Highway Dataset for Autonomous Vehicle Assessment

Cut-Out Scenario Generation With Reasonability Foreseeable Parameter Range From Real Highway Dataset for Autonomous Vehicle Assessment

This study aims to generate test cases for scenario-based assessment of automated driving systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed lanes, revealing a new lead vehicle that, in some cases, is slower than the original lead (the cutting-out) vehicle. We extr...

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Bibliographic Details
Main Authors: H. Muslim, S. Endo, H. Imanaga, S. Kitajima, N. Uchida, E. Kitahara, K. Ozawa, H. Sato, H. Nakamura
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Connected and automated vehicles
car-following
lane change
logical scenarios
safety-test assessment
scenario-based approach
Online Access:https://ieeexplore.ieee.org/document/10105956/

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