[图书][B] Designing Interaction-aware Prediction and Planning Models for Autonomous Driving

Y Hu - 2021 - search.proquest.com
The ability to interact with other road participants is essential for autonomous vehicles in
order to navigate under highly complex or critical driving scenarios. It is an extremely …

Modeling Human Adaptation with Game-theoretic Intention Decoding in Human-Robot Interactions

Y Wang - 2021 - search.proquest.com
With the substantial development of intelligent robots, human-robot interaction (HRI) has
become ubiquitous in applications such as collaborative manufacturing, surgical robotic …

Game-theoretic Empathetic Parameter Estimation in Two-Vehicle Interaction

Y Chen - 2021 - search.proquest.com
Recent years, there has been many attempts with different approaches to the human-robot
interaction (HRI) problems. In this paper, the multi-agent interaction is formulated as a …

[PDF][PDF] Interpretable Modelling of Driving Behaviors based on Cumulative Prospect Theory

L Sun, W Zhan, Y Hu, M Tomizuka - researchgate.net
In this paper, we propose an interpretable human driver behavior model based on the
cumulative prospect theory (CPT)-a non-expected utility theory. The goal of this work is to …

Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction

Y Cheng, L Sun, C Liu, M Tomizuka - arXiv preprint arXiv:1903.02199, 2019 - arxiv.org
Human robot collaboration (HRC) is becoming increasingly important as the paradigm of
manufacturing is shifting from mass production to mass customization. The introduction of …

A Long-Term Actor Network for Human-Like Car-Following Trajectory Planning Guided by Offline Sample-Based Deep Inverse Reinforcement Learning

J Nan, W Deng, R Zhang, Y Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human-like autonomous driving can enhance user acceptance and integration within traffic.
In light of this, this paper presents a planning method for the human-like longitudinal …