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Fangjian Li
Fangjian Li
Verified email at g.clemson.edu - Homepage
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Cited by
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A review of sensing and communication, human factors, and controller aspects for information-aware connected and automated vehicles
A Sarker, H Shen, M Rahman, M Chowdhury, K Dey, F Li, Y Wang, ...
IEEE transactions on intelligent transportation systems 21 (1), 7-29, 2019
1412019
Cooperative adaptive cruise control for string stable mixed traffic: Benchmark and human-centered design
F Li, Y Wang
IEEE Transactions on Intelligent Transportation Systems 18 (12), 3473-3485, 2017
562017
Haptic assistive control with learning-based driver intent recognition for semi-autonomous vehicles
C Wang, F Li, Y Wang, JR Wagner
IEEE Transactions on Intelligent Vehicles 8 (1), 425-437, 2021
232021
Trust-based control and scheduling for UGV platoon under cyber attacks
F Li, D Mikulski, JR Wagner, Y Wang
SAE Technical Paper, 2019
152019
Unmanned ground vehicle platooning under cyber attacks: a human-robot interaction framework
F Li, C Wang, D Mikulski, JR Wagner, Y Wang
IEEE Transactions on Intelligent Transportation Systems 23 (10), 18113-18128, 2022
122022
Human Trust in Robots: A Survey on Trust Models and Their Controls/Robotics Applications
Y Wang, F Li, H Zheng, L Jiang, MF Mahani, Z Liao
IEEE Open Journal of Control Systems, 2023
52023
& Narman
A Sarker, H Shen, M Rahman, M Chowdhury, K Dey, F Li
HS “A review of sensing and communication, human factors, and controller …, 2019
52019
Safety-aware adversarial inverse reinforcement learning for highway autonomous driving
F Li, J Wagner, Y Wang
Journal of Autonomous Vehicles and Systems 1 (4), 041004, 2021
32021
Human-centered time headway controller for cooperative adaptive cruise control (CACC)
M Islam, F Li, M Rahman, S Islam, M Chowdhury, Y Wang
Transp. Res. Board, Washington, DC, USA, Tech. Rep, 18-06472, 2018
22018
Adversarial Learning for Safe Highway Driving based on Two-Player Zero-Sum Game
F Li, M Zhao, J Wagner, Y Wang
2023 American Control Conference (ACC), 472-477, 2023
12023
Control, Decision-Making, and Learning Approaches for Connected and Autonomous Driving Systems with Humans-in-the-loop
F Li
2022
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