Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...
Abstract: This letter presents a theoretical framework for estimating the trajectory-based region of attraction in nonlinear higher-order networks. A Lyapunov-based criterion is established for ...
Abstract: This paper investigates the problem of interval trajectory tracking control for an automated guided vehicle in the presence of unknown-but-bounded noises. A trajectory tracking control ...
We propose a novel multi-pose loss function to train a neural network for 6D pose estimation, using synthetic data and evaluating it on real images. Our loss is inspired by the VSD (Visible Surface ...
We present TrackNetV3, a model composed of two core modules: trajectory prediction and rectification. The trajectory prediction module leverages an estimated background as auxiliary data to locate the ...