Automated driving: the role of forecasts and uncertainty -- a control perspective

DOI10.1016/j.ejcon.2015.04.007zbMath1360.93007OpenAlexW2014414177MaRDI QIDQ522871

Jason Kong, Stéphanie Lefévre, Georg Schildbach, Ashwin Carvalho, Francesco Borrelli

Publication date: 19 April 2017

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2015.04.007

zbMATH Keywords

adaptive learningmodel predictive controlautomated drivingautonomous cars

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Design techniques (robust design, computer-aided design, etc.) (93B51) Research exposition (monographs, survey articles) pertaining to systems and control theory (93-02) General systems (93A10)

Related Items (2)

Safe, learning-based MPC for highway driving under Lane-change uncertainty: a distributionally robust approach ⋮ Observer-based tracking design using \(H_\infty\) criteria: application to eco-driving in a tramway system

Uses Software

• Ipopt
• NPSOL
• SUMO

Cites Work

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