1 code implementation • 1 Feb 2024 • Andres Pulido, Kyle Volle, Kristy Waters, Zachary I. Bell, Prashant Ganesh, Jane Shin
This neural network (NN)-based motion model serves as the prediction step in a particle filter for target state estimation and uncertainty quantification.
no code implementations • 14 Oct 2023 • Zachary Lamb, Zachary I. Bell, Matthew Longmire, Jared Paquet, Prashant Ganesh, Ricardo Sanfelice
Recent literature in the field of machine learning (ML) control has shown promising theoretical results for a Deep Neural Network (DNN) based Nonlinear Adaptive Controller (DNAC) capable of achieving trajectory tracking for nonlinear systems.
no code implementations • 1 Aug 2022 • J. Humberto Ramos, Jaejeong Shin, Kyle Volle, Paul Buzaud, Kevin Brink, Prashant Ganesh
In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumulation of positional error which can interfere with reliable performance.
no code implementations • 30 Mar 2022 • Debashri Roy, Batool Salehi, Stella Banou, Subhramoy Mohanti, Guillem Reus-Muns, Mauro Belgiovine, Prashant Ganesh, Carlos Bocanegra, Chris Dick, Kaushik Chowdhury
Incorporating artificial intelligence and machine learning (AI/ML) methods within the 5G wireless standard promises autonomous network behavior and ultra-low-latency reconfiguration.
no code implementations • 11 Mar 2022 • J. Humberto Ramos, Kevin Brink, Prashant Ganesh, John E. Hurtado
This document contains a concise and unified reference for one of the existing mechanizations of the UD Kalman filter.