Chang Liu
Cited by
Cited by
Path planning for autonomous vehicles using model predictive control
C Liu, S Lee, S Varnhagen, HE Tseng
2017 IEEE Intelligent Vehicles Symposium (IV), 174-179, 2017
Learning a deep neural net policy for end-to-end control of autonomous vehicles
V Rausch, A Hansen, E Solowjow, C Liu, E Kreuzer, JK Hedrick
2017 American Control Conference (ACC), 4914-4919, 2017
Kalman filter-based tracking of moving objects using linear ultrasonic sensor array for road vehicles
SE Li, G Li, J Yu, C Liu, B Cheng, J Wang, K Li
Mechanical Systems and Signal Processing 98, 173-189, 2018
How much data are enough? A statistical approach with case study on longitudinal driving behavior
W Wang, C Liu, D Zhao
IEEE Transactions on Intelligent Vehicles 2 (2), 85-98, 2017
Scene understanding in deep learning-based end-to-end controllers for autonomous vehicles
S Yang, W Wang, C Liu, W Deng
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (1), 53-63, 2018
Pragmatic-pedagogic value alignment
JF Fisac, MA Gates, JB Hamrick, C Liu, D Hadfield-Menell, ...
Robotics Research: The 18th International Symposium ISRR, 49-57, 2020
Human-centered feed-forward control of a vehicle steering system based on a driver's path-following characteristics
W Wang, J Xi, C Liu, X Li
IEEE transactions on intelligent transportation systems 18 (6), 1440-1453, 2016
Goal inference improves objective and perceived performance in human-robot collaboration
C Liu, JB Hamrick, JF Fisac, AD Dragan, JK Hedrick, SS Sastry, ...
arXiv preprint arXiv:1802.01780, 2018
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach
S Yang, W Wang, C Liu, W Deng, JK Hedrick
2017 IEEE Intelligent Vehicles Symposium (IV), 1033-1038, 2017
Generating plans that predict themselves
JF Fisac, C Liu, JB Hamrick, S Sastry, JK Hedrick, TL Griffiths, AD Dragan
Algorithmic Foundations of Robotics XII: Proceedings of the Twelfth Workshop …, 2020
Parallel interacting multiple model-based human motion prediction for motion planning of companion robots
D Lee, C Liu, YW Liao, JK Hedrick
IEEE Transactions on Automation Science and Engineering 14 (1), 52-61, 2016
Model predictive control-based target search and tracking using autonomous mobile robot with limited sensing domain
C Liu, JK Hedrick
2017 American control conference (ACC), 2937-2942, 2017
Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors
J Yu, SE Li, C Liu, B Cheng
2016 IEEE Intelligent Vehicles Symposium (IV), 72-77, 2016
Measurement dissemination-based distributed Bayesian filter using the latest-in-and-full-out exchange protocol for networked unmanned vehicles
C Liu, SE Li, JK Hedrick
IEEE Transactions on Industrial Electronics 64 (11), 8756-8766, 2017
Mixed reinforcement learning for efficient policy optimization in stochastic environments
Y Mu, B Peng, Z Gu, SE Li, C Liu, B Nie, J Zheng, B Zhang
2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020
Distributed Bayesian Filter Using Measurement Dissemination for Multiple Unmanned Ground Vehicles With Dynamically Changing Interaction Topologies
C Liu, SE Li, D Yang, JK Hedrick
Journal of Dynamic Systems, Measurement, and Control 140 (3), 030903, 2018
Adaptive online distributed optimal control of very-large-scale robotic systems
P Zhu, C Liu, S Ferrari
IEEE Transactions on Control of Network Systems 8 (2), 678-689, 2021
Cooperative search using human-UAV teams
C Liu, JK Hedrick
AIAA Infotech@ Aerospace, 1653, 2016
Model predictive control-based probabilistic search method for autonomous ground robot in a dynamic environment
C Liu, SE Li, JK Hedrick
Dynamic Systems and Control Conference 57267, V003T49A003, 2015
Interacting multiple model-based human motion prediction for motion planning of companion robots
D Lee, C Liu, JK Hedrick
2015 IEEE International Symposium on Safety, Security, and Rescue Robotics …, 2015
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