Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems

In the context of increasing research on algorithms for different modules of the autonomous driving stack, the development and evaluation of these algorithms for deployment onboard vehicles is the next critical step. In the development and verification phases, simulations play a pivotal role in achi...

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Detalhes bibliográficos

Principais autores:	Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
coleção:	Future Transportation
Assuntos:	autonomous vehicle model predictive control optimal control problem control barrier functions obstacle avoidance uncertainty analysis
Acesso em linha:	https://www.mdpi.com/2673-7590/4/4/74
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