138 citations · 140 across the 5 of their papers we have counts for
7 papers
Effects of Explanation Specificity on Passengers in Autonomous Driving
Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes +2
The nature of explanations provided by an explainable AI algorithm has been a topic of interest in the explainable AI and human-computer interaction community. In this paper, we in…
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Raunak Bhattacharyya, Soyeon Jung, Liam Kruse +2
Autonomous vehicles need to model the behavior of surrounding human driven vehicles to be safe and efficient traffic participants. Existing approaches to modeling human driving beh…
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Raunak P. Bhattacharyya, Kyle Brown, Juanran Wang +2
An open problem in autonomous driving research is modeling human driving behavior, which is needed for the planning component of the autonomy stack, safety validation through traff…
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning
Raunak Bhattacharyya, Blake Wulfe, Derek Phillips +4
An open problem in autonomous vehicle safety validation is building reliable models of human driving behavior in simulation. This work presents an approach to learn neural driving…
Online Parameter Estimation for Human Driver Behavior Prediction
Raunak Bhattacharyya, Ransalu Senanayake, Kyle Brown +1
Driver models are invaluable for planning in autonomous vehicles as well as validating their safety in simulation. Highly parameterized black-box driver models are very expressive,…
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu +3
Recent developments in multi-agent imitation learning have shown promising results for modeling the behavior of human drivers. However, it is challenging to capture emergent traffi…
Multi-Agent Imitation Learning for Driving Simulation
Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe +3
Simulation is an appealing option for validating the safety of autonomous vehicles. Generative Adversarial Imitation Learning (GAIL) has recently been shown to learn representative…