A hierarchical adaptive nonlinear model predictive control approach for maximizing tire force usage in autonomous vehicles

no code implementations • 24 Apr 2023 • James Dallas, Michael Thompson, Jonathan Y. M. Goh, Avinash Balachandran

The ability to reliably maximize tire force usage would improve the safety of autonomous vehicles, especially in challenging edge cases.

Autonomous Vehicles Computational Efficiency +2

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces

no code implementations • 21 Mar 2023 • Johan Vertens, Nicolai Dorka, Tim Welschehold, Michael Thompson, Wolfram Burgard

By training everything end-to-end with the loss of the dynamics model, we enforce the latent mapper to learn an update rule for the latent map that is useful for the subsequent dynamics model.

Autonomous Vehicles

Machine Learning Application in Health

no code implementations • 10 Jun 2022 • Ghadah Alshabana, Marjn Sadati, Thao Tran, Michael Thompson, Ashritha Chitimalla

Coronavirus can be transmitted through the air by close proximity to infected persons.

BIG-bench Machine Learning

SPARTan: Scalable PARAFAC2 for Large & Sparse Data

no code implementations • 13 Mar 2017 • Ioakeim Perros, Evangelos E. Papalexakis, Fei Wang, Richard Vuduc, Elizabeth Searles, Michael Thompson, Jimeng Sun

For example, when modeling medical features across a set of patients, the number and duration of treatments may vary widely in time, meaning there is no meaningful way to align their clinical records across time points for analysis purposes.