Chang Liu
Orcid: 0000-0001-7686-2510Affiliations:
- University of California at Berkeley, Department of Mechanical Engineering, Vehicle Dynamics and Control Laboratory, CA, USA
According to our database1,
Chang Liu
authored at least 24 papers
between 2015 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
On csauthors.net:
Bibliography
2023
Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.
Proceedings of the American Control Conference, 2023
2022
Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.
CoRR, 2022
Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
IEEE Trans. Control. Netw. Syst., 2021
2020
Rumor-robust Decentralized Gaussian Process Learning, Fusion, and Planning for Modeling Multiple Moving Targets.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Learning Recursive Bayesian Nonparametric Modeling of Moving Targets via Mobile Decentralized Sensors.
Proceedings of the International Conference on Robotics and Automation, 2019
2017
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior.
IEEE Trans. Intell. Veh., 2017
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics.
IEEE Trans. Intell. Transp. Syst., 2017
Measurement Dissemination-Based Distributed Bayesian Filter Using the Latest-In-and-Full-Out Exchange Protocol for Networked Unmanned Vehicles.
IEEE Trans. Ind. Electron., 2017
Parallel Interacting Multiple Model-Based Human Motion Prediction for Motion Planning of Companion Robots.
IEEE Trans Autom. Sci. Eng., 2017
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach.
CoRR, 2017
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior.
CoRR, 2017
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Proceedings of the Robotics Research, The 18th International Symposium, 2017
Proceedings of the 2017 American Control Conference, 2017
Distributed Bayesian filters for multi-vehicle network by using Latest-In-and-Full-Out exchange protocol of measurements.
Proceedings of the 2017 American Control Conference, 2017
Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain.
Proceedings of the 2017 American Control Conference, 2017
2016
Proceedings of the Algorithmic Foundations of Robotics XII, 2016
Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016
Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Distributed target localization using a group of UGVs under dynamically changing interaction topologies.
Proceedings of the 2016 American Control Conference, 2016
2015
Interacting multiple model-based human motion prediction for motion planning of companion robots.
Proceedings of the 2015 IEEE International Symposium on Safety, 2015