Bo Cheng

Orcid: 0000-0002-1753-2922

Affiliations:
  • Tsinghua University, School of Vehicle and Mobility, Beijing, China
  • University of Tokyo, Tokyo, Japan (PhD 1998)


According to our database1, Bo Cheng authored at least 56 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
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PhD thesis 
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Online presence:

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Bibliography

2023
Latent Hazard Notification for Highly Automated Driving: Expected Safety Benefits and Driver Behavioral Adaptation.
IEEE Trans. Intell. Transp. Syst., October, 2023

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

A Literature Review on Additional Semantic Information Conveyed from Driving Automation Systems to Drivers through Advanced In-Vehicle HMI Just Before, During, and Right After Takeover Request.
Int. J. Hum. Comput. Interact., June, 2023

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

A Human-Centered Comprehensive Measure of Take-Over Performance Based on Multiple Objective Metrics.
IEEE Trans. Intell. Transp. Syst., April, 2023

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

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

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

Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving.
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

An Adaptive Time Budget Adjustment Strategy Based on a Take-Over Performance Model for Passive Fatigue.
IEEE Trans. Hum. Mach. Syst., 2022

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

Takeover Directly or Gradually? Comparison of Single Stage and Dual Stage Human-Machine Interface on Drivers' Visual Behaviors and Subjective Ratings over Cognitive Demand, Motoric Demand, and Time Demand.
Proceedings of the BDE 2022: 4th International Conference on Big Data Engineering, Beijing, China, May 26, 2022

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

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

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

Mixed Policy Gradient.
CoRR, 2021

Recurrent Model Predictive Control.
CoRR, 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

Influence of the Relative Position of Surrounding Traffic on Drivers' Take-Over Performance.
Proceedings of the Advances in Human Aspects of Transportation, 2021

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

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.
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

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

Influence of Passive Fatigue and Take-Over Request Lead Time on Drivers' Take-Over Performance.
Proceedings of the Advances in Human Aspects of Transportation, 2020

2019
Direct and indirect reinforcement learning.
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

Driving Style Classification Based on Driving Operational Pictures.
IEEE Access, 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
Understanding Driver Response Patterns to Mental Workload Increase in Typical Driving Scenarios.
IEEE Access, 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

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

Instantaneous Feedback Control for a Fuel-Prioritized Vehicle Cruising System on Highways With a Varying Slope.
IEEE Trans. Intell. Transp. Syst., 2017

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

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

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

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

The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections.
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

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

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


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