Chang Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Autonomous Vehicles

Autonomous Mobile Robot

Model Predictive Control

Top Venues

IEEE Trans. Intell. Transp. Syst.

Intelligent Vehicles Symposium

Publications

Pengying Wu, Yao Mu, Kangjie Zhou, Ji Ma, Junting Chen, Chang Liu
CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. CoRR (2024)
Wenhan Cao, Shiqi Liu, Chang Liu, Zeyu He, Stephen S.-T. Yau, Shengbo Eben Li
Convolutional Bayesian Filtering. CoRR (2024)
Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. 9 (9) (2024)
Shiqi Liu, Wenhan Cao, Chang Liu, Tianyi Zhang, Shengbo Eben Li
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers. CoRR (2024)
Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Wenhan Cao, Chang Liu, Zhiqian Lan, Yingxi Piao, Shengbo Eben Li
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers. ACC (2023)
Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees. CDC (2022)
Pingping Zhu, Chang Liu, Silvia Ferrari
Adaptive Online Distributed Optimal Control of Very-Large-Scale Robotic Systems. IEEE Trans. Control. Netw. Syst. 8 (2) (2021)
Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR (2020)
Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 49 (1) (2019)
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. CoRR (2018)
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, S. Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
Generating Plans that Predict Themselves. CoRR (2018)
Chang Liu, J. Karl Hedrick
Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain. ACC (2017)
Chang Liu, Shengbo Eben Li, J. Karl Hedrick
Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements. ACC (2017)
Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan
Pragmatic-Pedagogic Value Alignment. ISRR (2017)
Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan
Pragmatic-Pedagogic Value Alignment. CoRR (2017)
Wenshuo Wang, Junqiang Xi, Chang Liu, Xiaohan Li
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. IEEE Trans. Intell. Transp. Syst. 18 (6) (2017)
Donghan Lee, Chang Liu, Yi-Wen Liao, J. Karl Hedrick
Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots. IEEE Trans Autom. Sci. Eng. 14 (1) (2017)
Viktor Rausch, Andreas Hansen, Eugen Solowjow, Chang Liu, Edwin Kreuzer, J. Karl Hedrick
Learning a deep neural net policy for end-to-end control of autonomous vehicles. ACC (2017)
Wenshuo Wang, Chang Liu, Ding Zhao
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. CoRR (2017)
Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng, J. Karl Hedrick
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. Intelligent Vehicles Symposium (2017)
Wenshuo Wang, Chang Liu, Ding Zhao
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. IEEE Trans. Intell. Veh. 2 (2) (2017)
Chang Liu, Shengbo Eben Li, J. Karl Hedrick
Measurement Dissemination-Based Distributed Bayesian Filter Using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles. IEEE Trans. Ind. Electron. 64 (11) (2017)
Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. CoRR (2017)
Chang Liu, Jessica B. Hamrick, Jaime F. Fisac, Anca D. Dragan, J. Karl Hedrick, S. Shankar Sastry, Thomas L. Griffiths
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration. AAMAS (2016)
Jiaying Yu, Shengbo Eben Li, Chang Liu, Bo Cheng
Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors. Intelligent Vehicles Symposium (2016)
Chang Liu, Shengbo Eben Li, J. Karl Hedrick
Distributed target localization using a group of UGVs under dynamically changing interaction topologies. ACC (2016)
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick, Shankar Sastry, J. Karl Hedrick, Thomas L. Griffiths, Anca D. Dragan
Generating Plans that Predict Themselves. WAFR (2016)
Donghan Lee, Chang Liu, J. Karl Hedrick
Interacting multiple model-based human motion prediction for motion planning of companion robots. SSRR (2015)