research
∙
08/31/2023
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
This paper describes a framework for learning Automated Vehicles (AVs) d...
share
research
∙
10/25/2022
Bayesian Methods in Automated Vehicle's Car-following Uncertainties: Enabling Strategic Decision Making
This paper proposes a methodology to estimate uncertainty in automated v...
research
∙
11/09/2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Things (IoT) is on the verge of a major paradigm shift. ...
research
∙
08/23/2021
Predicting Vehicles' Longitudinal Trajectories and Lane Changes on Highway On-Ramps
Vehicles on highway on-ramps are one of the leading contributors to cong...
research
∙
04/21/2021
