Scenario-based collision detection using machine learning for highly automated driving systems

Highly Automated Driving (HAD) systems implement new features to improve the performance, safety and comfort of partially or fully automated vehicles. The identification of safety parameters by means of complex systems and the driving environment is a fundamental aspect that require great attention....

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Hlavní autoři:	Marzana Khatun, Rolf Jung, Michael Glaß
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2023-12-01
Edice:	Systems Science & Control Engineering
Témata:	Lane change scenarios highly automated driving systems collision detection machine learning
On-line přístup:	https://www.tandfonline.com/doi/10.1080/21642583.2023.2169384
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