Shaobing Xu

Orcid: 0000-0002-4127-2411

According to our database1, Shaobing Xu authored at least 47 papers between 2014 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Survey on Datasets for the Decision Making of Autonomous Vehicles.
IEEE Intell. Transp. Syst. Mag., 2024

A Generalized Control Revision Method for Autonomous Driving Safety.
CoRR, 2024

S2O: An Integrated Driving Decision-making Performance Evaluation Method Bridging Subjective Feeling to Objective Evaluation.
CoRR, 2024

CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning.
CoRR, 2024

DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds.
CoRR, 2024

PreGSU-A Generalized Traffic Scene Understanding Model for Autonomous Driving based on Pre-trained Graph Attention Network.
CoRR, 2024

UniLiDAR: Bridge the domain gap among different LiDARs for continual learning.
CoRR, 2024

A Risk-aware Planning Framework of UGVs in Off-Road Environment.
CoRR, 2024

Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
SA-LSTM: A Trajectory Prediction Model for Complex Off-Road Multi-Agent Systems Considering Situation Awareness Based on Risk Field.
IEEE Trans. Veh. Technol., November, 2023

Decision-Making Driven by Driver Intelligence and Environment Reasoning for High-Level Autonomous Vehicles: A Survey.
IEEE Trans. Intell. Transp. Syst., October, 2023

Safe and Human-Like Trajectory Planning of Self-Driving Cars: A Constraint Imitative Method.
Adv. Intell. Syst., October, 2023

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

Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning.
Nat. Mac. Intell., February, 2023

A Survey on Datasets for Decision-making of Autonomous Vehicle.
CoRR, 2023

4D Millimeter-Wave Radar in Autonomous Driving: A Survey.
CoRR, 2023

Global Path Planning of UGVs in Large-Scale Off-Road Environment Based on Improved A-star Algorithm and Quadratic Programming.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
Recent Advances in Automated Driving Technologies [From the Guest Editors].
IEEE Veh. Technol. Mag., 2022

System and Experiments of Model-Driven Motion Planning and Control for Autonomous Vehicles.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Confidence-Aware Reinforcement Learning for Self-Driving Cars.
IEEE Trans. Intell. Transp. Syst., 2022

Monocular Connected-Vehicle Position Estimation on Sloping and Uneven Roads.
IEEE Intell. Transp. Syst. Mag., 2022

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

SUPER: A Novel Lane Detection System.
IEEE Trans. Intell. Veh., 2021

Preview Path Tracking Control With Delay Compensation for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2021

Graph-Embedded Lane Detection.
IEEE Trans. Image Process., 2021

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

2020
Design and Test of Speed Tracking Control for the Self-Driving Lincoln MKZ Platform.
IEEE Trans. Intell. Veh., 2020

Design, Analysis, and Experiments of Preview Path Tracking Control for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.
CoRR, 2020

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

Design and Experiments of Safeguard Protected Preview Lane Keeping Control for Autonomous Vehicles.
IEEE Access, 2020

Behavioral Competence Tests for Highly Automated Vehicles.
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

Eco-routing for Plug-in Hybrid Electric Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2018
Design and Comparison of Fuel-Saving Speed Planning Algorithms for Automated Vehicles.
IEEE Access, 2018

Accurate and Smooth Speed Control for an Autonomous Vehicle.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

An Augmented Reality Environment for Connected and Automated Vehicle Testing and Evaluation.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Method of Car Styling Evaluation Based on Eye Tracking.
Proceedings of the Design, User Experience, and Usability: Users, Contexts and Case Studies, 2018

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

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

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

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


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