216 citations · 240 across the 5 of their papers we have counts for
Showing eess.SYShow all
3 papers · 1 filter
eess.SY2021★ 17 cited
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles
Yongqian Xiao
Autonomous driving has attracted lots of attention in recent years. An accurate vehicle dynamics is important for autonomous driving techniques, e.g. trajectory prediction, motion…
eess.SY2021★ 7 cited
CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels
Yongqian Xiao, Xin Xu, QianLi Lin
With the development of end-to-end control based on deep learning, it is important to study new system modeling techniques to realize dynamics modeling with high-dimensional inputs…
eess.SY2020★ 216 cited
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles
Yongqian Xiao, Xinglong Zhang, Xin Xu +2
Autonomous driving technologies have received notable attention in the past decades. In autonomous driving systems, identifying a precise dynamical model for motion control is nont…