Erik Frisk

Proprefekt, Professor, Avdelningschef

Min Google Scholar profil

Publikationer

Jian Zhou, Yulong Gao, Björn Olofsson, Erik Frisk, Robust motion planning for autonomous vehicles based on environment and uncertainty-aware reachability prediction, Control Engineering Practice 160:106319 (2025) https://doi.org/10.1016/j.conengprac.2025.106319

Jian Zhou, Yulong Gao, Ola Johansson, Björn Olofsson, Erik Frisk, Robust Predictive Motion Planning by Learning Obstacle Uncertainty, IEEE Transactions on Control Systems Technology (2025) https://doi.org/10.1109/TCST.2025.3533378

Luigi Romano, Ole Morten Aamo, Jan Åslund, Erik Frisk, Stability and Dissipativity of the Distributed LuGre Friction Model, IEEE Control Systems Letters 9:324-329 (2025) https://doi.org/10.1109/LCSYS.2025.3572419

Abhijeet Behera, Sogol Kharrazi, Erik Frisk, Extraction of Lane Changes from Naturalistic Driving Data for Performance Assessment of HCT Vehicles, Proceedings of the 28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023, August 21–25, 2023, Ottawa, Canada - Volume 2: Road Vehicles, Huang, Wei; Ahmadian, Mehdi (eds.), Lecture Notes in Mechanical Engineering (LNME), pp. 153-164, Springer Nature Switzerland (2024) https://doi.org/10.1007/978-3-031-66968-2_16

Abhijeet Behera, Sogol Kharrazi, Erik Frisk, How do long combination vehicles perform in real traffic? A study using Naturalistic Driving Data, Accident Analysis and Prevention 207:107763 (2024) https://doi.org/10.1016/j.aap.2024.107763

Forskning och nyheter

Ruttplanering av tunga elektriska fordon

En möjliggörare för elektrifiering av tunga fordon är smartare verktyg för att planera hur fordon används och laddas. Tillsammans med Scania och Rang-Sells utvecklar vi matematiska modeller och algoritmer för framtidens transportsystem.