Shengbo Eben Li

Orcid: 0000-0003-4923-3633

Affiliations:
  • Tsinghua University, School of Vehicle and Mobility, Beijing, China (PhD 2009)
  • University of Michigan, Department of Mechanical Engineering, Ann Arbor, MI, USA (former)


According to our database1, Shengbo Eben Li authored at least 208 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model.
IEEE Trans. Intell. Transp. Syst., October, 2024

A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems.
IEEE Trans. Intell. Transp. Syst., July, 2024

Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.
IEEE Trans. Intell. Transp. Syst., July, 2024

Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate.
IEEE Trans Autom. Sci. Eng., July, 2024

A RGB-Thermal Image Segmentation Method Based on Parameter Sharing and Attention Fusion for Safe Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., June, 2024

Optimization Landscape of Policy Gradient Methods for Discrete-Time Static Output Feedback.
IEEE Trans. Cybern., June, 2024

A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios.
IEEE Trans. Intell. Transp. Syst., May, 2024

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier].
IEEE Comput. Intell. Mag., May, 2024

Periodic Event-Triggered Fault Detection for Safe Platooning Control of Intelligent and Connected Vehicles.
IEEE Trans. Veh. Technol., April, 2024

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.
IEEE Trans. Intell. Veh., April, 2024

Synthesizing Control Barrier Functions With Feasible Region Iteration for Safe Reinforcement Learning.
IEEE Trans. Autom. Control., April, 2024

RL-Driven MPPI: Accelerating Online Control Laws Calculation With Offline Policy.
IEEE Trans. Intell. Veh., February, 2024

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Hierarchical Control of Connected Vehicle Platoon by Simultaneously Considering the Vehicle Kinematics and Dynamics.
IEEE Trans. Intell. Veh., January, 2024

Relaxed Policy Iteration Algorithm for Nonlinear Zero-Sum Games With Application to H-Infinity Control.
IEEE Trans. Autom. Control., January, 2024

Vision-Driven 2D Supervised Fine-Tuning Framework for Bird's Eye View Perception.
CoRR, 2024

Quantitative Representation of Scenario Difficulty for Autonomous Driving Based on Adversarial Policy Search.
CoRR, 2024

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis.
CoRR, 2024

Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning.
CoRR, 2024

Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios.
CoRR, 2024

OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation.
CoRR, 2024

Hierarchical and Decoupled BEV Perception Learning Framework for Autonomous Driving.
CoRR, 2024

Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers.
CoRR, 2024

Diffusion Actor-Critic with Entropy Regulator.
CoRR, 2024

Controllability Test for Nonlinear Datatic Systems.
CoRR, 2024

The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study.
CoRR, 2024

Convolutional Bayesian Filtering.
CoRR, 2024

Policy Bifurcation in Safe Reinforcement Learning.
CoRR, 2024

Canonical Form of Datatic Description in Control Systems.
CoRR, 2024

On the Stability of Datatic Control Systems.
CoRR, 2024

Control Safety Function for Explicit Safety-Critical Control of Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Feasible Reachable Policy Iteration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., September, 2023

Relaxed Actor-Critic With Convergence Guarantees for Continuous-Time Optimal Control of Nonlinear Systems.
IEEE Trans. Intell. Veh., May, 2023

Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment.
IEEE Trans. Intell. Transp. Syst., May, 2023

Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles.
IEEE Trans. Intell. Veh., March, 2023

Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer.
IEEE Trans. Intell. Veh., March, 2023

Model-Free Safe Reinforcement Learning Through Neural Barrier Certificate.
IEEE Robotics Autom. Lett., March, 2023

Integrated Graphical Representation of Highway Scenarios to Improve Trajectory Prediction of Surrounding Vehicles.
IEEE Trans. Intell. Veh., February, 2023

Accurate Pseudospectral Optimization of Nonlinear Model Predictive Control for High-Performance Motion Planning.
IEEE Trans. Intell. Veh., February, 2023

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence.
IEEE Trans. Cybern., 2023

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
CoRR, 2023

Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning.
CoRR, 2023

Training Multi-layer Neural Networks on Ising Machine.
CoRR, 2023

Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration.
CoRR, 2023

DSAC-T: Distributional Soft Actor-Critic with Three Refinements.
CoRR, 2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.
CoRR, 2023

Safe Reinforcement Learning with Dual Robustness.
CoRR, 2023

Feasible Policy Iteration.
CoRR, 2023

Velocity Planning for Multi-Vehicle Systems via Distributed Optimization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control.
Proceedings of the International Conference on Machine Learning, 2023

Robust Safe Reinforcement Learning under Adversarial Disturbances.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Continuous-Time Policy Optimization.
Proceedings of the American Control Conference, 2023

Belief State Actor-Critic Algorithm from Separation Principle for POMDP.
Proceedings of the American Control Conference, 2023

Generalized Moving Horizon Estimation for Nonlinear Systems with Robustness to Measurement Outliers.
Proceedings of the American Control Conference, 2023

Reinforcement Learning for Sequential Decision and Optimal Control
Springer, ISBN: 978-981-19-7783-1, 2023

2022
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors.
IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., 2022

Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems.
IEEE Trans. Intell. Transp. Syst., 2022

Indirect Shared Control Through Non-Zero Sum Differential Game for Cooperative Automated Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Structural Transformer Improves Speed-Accuracy Trade-Off in Interactive Trajectory Prediction of Multiple Surrounding Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Multisource Adaption for Driver Attention Prediction in Arbitrary Driving Scenes.
IEEE Trans. Intell. Transp. Syst., 2022

Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Interpretable End-to-End Urban Autonomous Driving With Latent Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Exploring Behavioral Patterns of Lane Change Maneuvers for Human-Like Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

Recurrent Model Predictive Control: Learning an Explicit Recurrent Controller for Nonlinear Systems.
IEEE Trans. Ind. Electron., 2022

Fuel Economy Optimization for Platooning Vehicle Swarms via Distributed Economic Model Predictive Control.
IEEE Trans Autom. Sci. Eng., 2022

The Prediction of Urban Road Traffic Congestion by Using a Deep Stacked Long Short-Term Memory Network.
IEEE Intell. Transp. Syst. Mag., 2022

Driver Behavior in Intelligent Transportation Systems [Guest Editorial].
IEEE Intell. Transp. Syst. Mag., 2022

Adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.
Neurocomputing, 2022

Beyond backpropagate through time: Efficient model-based training through time-splitting.
Int. J. Intell. Syst., 2022

Smoothing Policy Iteration for Zero-sum Markov Games.
CoRR, 2022

Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.
CoRR, 2022

Integrated Decision and Control for High-Level Automated Vehicles by Mixed Policy Gradient and Its Experiment Verification.
CoRR, 2022

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate.
CoRR, 2022

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.
CoRR, 2022

Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning.
CoRR, 2022

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees.
CoRR, 2022

Zeroth-Order Actor-Critic.
CoRR, 2022

Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Cola-HRL: Continuous-Lattice Hierarchical Reinforcement Learning for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Reachability Constrained Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Flow-based Recurrent Belief State Learning for POMDPs.
Proceedings of the International Conference on Machine Learning, 2022

Performance-Driven Controller Tuning via Derivative-Free Reinforcement Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Primal-Dual Estimator Learning Method with Feasibility and Near-Optimality Guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Optimization Landscape of Gradient Descent for Discrete-time Static Output Feedback.
Proceedings of the American Control Conference, 2022

2021
Recent Advances in Motion Control, Estimation, and Diagnosis for Automated Vehicles [From the Guest Editors].
IEEE Veh. Technol. Mag., 2021

Behavioral Harmonization of a Cyclic Vehicular Platoon in a Closed Road Network.
IEEE Trans. Intell. Veh., 2021

Indirect Shared Control for Cooperative Driving Between Driver and Automation in Steer-by-Wire Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Cooperative Control of Heterogeneous Connected Vehicles with Directed Acyclic Interactions.
IEEE Intell. Transp. Syst. Mag., 2021

Eco-Driving Operation of Connected Vehicle With V2I Communication Among Multiple Signalized Intersections.
IEEE Intell. Transp. Syst. Mag., 2021

Direct and indirect reinforcement learning.
Int. J. Intell. Syst., 2021

Cover: International Journal of Intelligent Systems, Volume 36 Issue 8 August 2021.
Int. J. Intell. Syst., 2021

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning.
CoRR, 2021

Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow.
CoRR, 2021

Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios.
CoRR, 2021

Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow.
CoRR, 2021

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
CoRR, 2021

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence.
CoRR, 2021

Approximate Optimal Filter for Linear Gaussian Time-invariant Systems.
CoRR, 2021

Decision-Making under On-Ramp merge Scenarios by Distributional Soft Actor-Critic Algorithm.
CoRR, 2021

Mixed Policy Gradient.
CoRR, 2021

Recurrent Model Predictive Control.
CoRR, 2021

Steadily Learn to Drive with Virtual Memory.
CoRR, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Numerically Stable Dynamic Bicycle Model for Discrete-time Control.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Learn collision-free self-driving skills at urban intersections with model-based reinforcement learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Model-Based Actor-Critic with Chance Constraint for Stochastic System.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Centralized Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization.
IEEE Trans. Veh. Technol., 2020

Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network.
IEEE Trans. Intell. Transp. Syst., 2020

Cooperation of Multiple Connected Vehicles at Unsignalized Intersections: Distributed Observation, Optimization, and Control.
IEEE Trans. Ind. Electron., 2020

Distributed Sliding Mode Control for Nonlinear Heterogeneous Platoon Systems With Positive Definite Topologies.
IEEE Trans. Control. Syst. Technol., 2020

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles.
IEEE Intell. Transp. Syst. Mag., 2020

Optimal Periodic Control of Connected Multiple Vehicles With Heterogeneous Dynamics and Guaranteed Bounded Stability.
IEEE Intell. Transp. Syst. Mag., 2020

Robust Distributed Consensus Control of Uncertain Multiagents Interacted by Eigenvalue-Bounded Topologies.
IEEE Internet Things J., 2020

Numerically Stable Dynamic Bicycle Model for Discrete-time Control.
CoRR, 2020

Centralized Coordination of Connected Vehicles at Intersections using Graphical Mixed Integer Optimization.
CoRR, 2020

Reinforcement Solver for H-infinity Filter with Bounded Noise.
CoRR, 2020

Ternary Policy Iteration Algorithm for Nonlinear Robust Control.
CoRR, 2020

Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency.
CoRR, 2020

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization.
CoRR, 2020

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.
CoRR, 2020

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.
CoRR, 2020

Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data.
CoRR, 2020

Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function.
CoRR, 2020

Analysis of Motion Sickness Associated Brain Activity Using fNIRS: A Driving Simulator Study.
IEEE Access, 2020

Time Difference Penalized Traffic Signal Timing by LSTM Q-Network to Balance Safety and Capacity at Intersections.
IEEE Access, 2020

Accelerated Convergence of Time-Splitting Algorithm for MPC using Cross-Node Consensus.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization<sup>*</sup>.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections.
IEEE Trans. Intell. Transp. Syst., 2019

Synthesis of Robust Lane Keeping Systems: Impact of Controller and Design Parameters on System Performance.
IEEE Trans. Intell. Transp. Syst., 2019

Distributed Platoon Control Under Topologies With Complex Eigenvalues: Stability Analysis and Controller Synthesis.
IEEE Trans. Control. Syst. Technol., 2019

From Software-Defined Vehicles to Self-Driving Vehicles: A Report on CPSS-Based Parallel Driving.
IEEE Intell. Transp. Syst. Mag., 2019

Direct and indirect reinforcement learning.
CoRR, 2019

Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization.
CoRR, 2019

Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints.
CoRR, 2019

Generalized Policy Iteration for Optimal Control in Continuous Time.
CoRR, 2019

String stability for vehicular platoon control: Definitions and analysis methods.
Annu. Rev. Control., 2019

Pedestrian Trajectory Prediction with Learning-based Approaches: A Comparative Study.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Impact of Communication Erasure Channels on Control Performance of Connected and Automated Vehicles.
IEEE Trans. Veh. Technol., 2018

Minimize the Fuel Consumption of Connected Vehicles Between Two Red-Signalized Intersections in Urban Traffic.
IEEE Trans. Veh. Technol., 2018

Robust Longitudinal Control of Multi-Vehicle Systems - A Distributed H-Infinity Method.
IEEE Trans. Intell. Transp. Syst., 2018

Platooning of Connected Vehicles With Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis.
IEEE Trans. Intell. Transp. Syst., 2018

Distributed Adaptive Sliding Mode Control of Vehicular Platoon With Uncertain Interaction Topology.
IEEE Trans. Ind. Electron., 2018

Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios.
IEEE Access, 2018

Continuous Decision Making for On-road Autonomous Driving under Uncertain and Interactive Environments.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Parallel Optimal Control for Cooperative Automation of Large-scale Connected Vehicles via ADMM.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Reducing Time Headway for Platoons of Connected Vehicles via Multiple-Predecessor Following.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Fuel-Saving Servo-Loop Control for an Adaptive Cruise Control System of Road Vehicles With Step-Gear Transmission.
IEEE Trans. Veh. Technol., 2017

Performance Enhanced Predictive Control for Adaptive Cruise Control System Considering Road Elevation Information.
IEEE Trans. Intell. Veh., 2017

Instantaneous Feedback Control for a Fuel-Prioritized Vehicle Cruising System on Highways With a Varying Slope.
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

Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies.
IEEE Trans. Control. Syst. Technol., 2017

State-of-Charge Estimation for Lithium-Ion Batteries Based on a Nonlinear Fractional Model.
IEEE Trans. Control. Syst. Technol., 2017

Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions.
Sensors, 2017

Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities.
IEEE Intell. Transp. Syst. Mag., 2017

Driver fatigue Detection using Approximate Entropic of steering wheel angle from Real driving Data.
Int. J. Robotics Autom., 2017

Indirect Shared Control of Highly Automated Vehicles for Cooperative Driving between Driver and Automation.
CoRR, 2017

Driver-automation indirect shared control of highly automated vehicles with intention-aware authority transition.
Proceedings of the IEEE Intelligent Vehicles Symposium, 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

2016
Design of Multimode Power-Split Hybrid Vehicles - A Case Study on the Voltec Powertrain System.
IEEE Trans. Veh. Technol., 2016

Fuel-Saving Cruising Strategies for Parallel HEVs.
IEEE Trans. Veh. Technol., 2016

Multiple-Model Switching Control of Vehicle Longitudinal Dynamics for Platoon-Level Automation.
IEEE Trans. Veh. Technol., 2016

Stability and Scalability of Homogeneous Vehicular Platoon: Study on the Influence of Information Flow Topologies.
IEEE Trans. Intell. Transp. Syst., 2016

A Forward Collision Warning Algorithm With Adaptation to Driver Behaviors.
IEEE Trans. Intell. Transp. Syst., 2016

Detection of Driver Cognitive Distraction: A Comparison Study of Stop-Controlled Intersection and Speed-Limited Highway.
IEEE Trans. Intell. Transp. Syst., 2016

Stability Margin Improvement of Vehicular Platoon Considering Undirected Topology and Asymmetric Control.
IEEE Trans. Control. Syst. Technol., 2016

Efficient and accurate computation of model predictive control using pseudospectral discretization.
Neurocomputing, 2016

Dynamical tracking of surrounding objects for road vehicles using linearly-arrayed ultrasonic sensors.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Detection of driver cognitive distraction: An SVM based real-time algorithm and its comparison study in typical driving scenarios.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Distributed sliding mode control for multi-vehicle systems with positive definite topologies.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed target localization using a group of UGVs under dynamically changing interaction topologies.
Proceedings of the 2016 American Control Conference, 2016

2015
Eco-Departure of Connected Vehicles With V2X Communication at Signalized Intersections.
IEEE Trans. Veh. Technol., 2015

Fuel-Optimal Cruising Strategy for Road Vehicles With Step-Gear Mechanical Transmission.
IEEE Trans. Intell. Transp. Syst., 2015

Fast Online Computation of a Model Predictive Controller and Its Application to Fuel Economy-Oriented Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2015

Coordinated Adaptive Cruise Control System With Lane-Change Assistance.
IEEE Trans. Intell. Transp. Syst., 2015

Synthesis of multiple model switching controllers using <sub>H</sub><sub>∞</sub> theory for systems with large uncertainties.
Neurocomputing, 2015

Longitudinal collision mitigation via coordinated braking of multiple vehicles using model predictive control.
Integr. Comput. Aided Eng., 2015

Effect of Pulse-and-Glide Strategy on Traffic Flow for a Platoon of Mixed Automated and Manually Driven Vehicles.
Comput. Aided Civ. Infrastructure Eng., 2015

The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

An overview of vehicular platoon control under the four-component framework.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Lane change maneuver recognition via vehicle state and driver operation signals - Results from naturalistic driving data.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Driving Maneuvers Analysis Using Naturalistic Highway Driving Data.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Control of a heterogeneous vehicular platoon with uniform communication delay.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2014
Legendre pseudospectral computation of optimal speed profiles for vehicle eco-driving system.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Periodicity based cruising control of passenger cars for optimized fuel consumption.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Influence of information flow topology on closed-loop stability of vehicle platoon with rigid formation.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

2013
NARX modelling of a lithium iron phosphate battery used for electrified vehicle simulation.
Int. J. Model. Identif. Control., 2013

Scale reduction based efficient model predictive control and its application in vehicle following control.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
Minimum Fuel Control Strategy in Automated Car-Following Scenarios.
IEEE Trans. Veh. Technol., 2012

2011
Model Predictive Multi-Objective Vehicular Adaptive Cruise Control.
IEEE Trans. Control. Syst. Technol., 2011

Strategies to minimize fuel consumption of passenger cars during car-following scenarios.
Proceedings of the American Control Conference, 2011

2009
Multi-objective coordinated control for advanced adaptive cruise control system.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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