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Towards the Unified Principles for Level 5 Autonomous Vehicles

Engineering (Beijing, China), 2021-09, Vol.7 (9), p.1313-1325

2021

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A differentiated decision‐making algorithm for automated vehicles based on pedestrian feature estimation

IET intelligent transport systems, 2023-07, Vol.17 (7), p.1454-1466

2023

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A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

Sensors (Basel, Switzerland), 2018-12, Vol.18 (12), p.4313

2018

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A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

Engineering (Beijing, China), 2022-12, Vol.19 (12), p.228-239

2022

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On-Road Trajectory Planning of Connected and Automated Vehicles in Complex Traffic Settings: A Hierarchical Framework of Trajectory Refinement

IEEE access, 2024, Vol.12, p.7456-7468

2024

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General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Engineering (Beijing, China), 2024-02, Vol.33, p.63-76

2024

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Adaptive Drift Control of Autonomous Electric Vehicles After Brake System Failures

IEEE transactions on industrial electronics (1982), 2024-06, Vol.71 (6), p.1-12

2024

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Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment

Computer-aided civil and infrastructure engineering, 2021-07, Vol.36 (7), p.820-837

2021

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Driving risk-aversive motion planning in off-road environment

Expert systems with applications, 2023-04, Vol.216, p.119426, Article 119426

2023

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Safer Conflict-Based Search: Risk-Constrained Optimal Pathfinding for Multiple Connected and Automated Vehicles

IEEE transactions on automation science and engineering, 2024, p.1-15

2024

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A Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments

IEEE transactions on intelligent transportation systems, 2024-07, p.1-14

2024

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Probabilistic Situation Assessment for Intelligent Vehicles with Uncertain Trajectory Distribution

Transportation research record, 2021-11, Vol.2675 (11), p.119-130

2021

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Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning

Advanced engineering informatics, 2024-10, Vol.62, p.102801, Article 102801

2024

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Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis

Accident analysis and prevention, 2020-09, Vol.145, p.105680-105680, Article 105680

2020

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A probabilistic risk assessment framework considering lane-changing behavior interaction

Science China. Information sciences, 2020-09, Vol.63 (9), p.190203, Article 190203

2020

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Deception for Advantage in Connected and Automated Vehicle Decision-Making Games

2024 IEEE Intelligent Vehicles Symposium (IV), 2024, p.2234-2241

2024

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An integrated architecture for intelligence evaluation of automated vehicles

Accident analysis and prevention, 2020-09, Vol.145, p.105681-105681, Article 105681

2020

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Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System

ASCE-ASME journal of risk and uncertainty in engineering systems. Part A, Civil Engineering, 2022-09, Vol.8 (3)

2022

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Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty

Industrial robot, 2021-11, Vol.48 (6), p.778-791

2021

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CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning

IEEE robotics and automation letters, 2024-08, p.1-8

2024

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Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control

2024 IEEE Intelligent Vehicles Symposium (IV), 2024, p.16-22

2024

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Multiple Unmanned Ground Vehicles Cooperative Trajectory Planning with Flexible Safety Guarantees

2023 IEEE International Conference on Unmanned Systems (ICUS), 2023, p.382-388

2023

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Fast and robust approaches for lane detection using multi-camera fusion in complex scenes

IET intelligent transport systems, 2020-12, Vol.14 (12), p.1582-1593

2020

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Driver-automation collaborative steering control for intelligent vehicles under unexpected emergency conditions

2022 IEEE Intelligent Vehicles Symposium (IV), 2022, p.1623-1630

2022

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Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model

2020 IEEE Intelligent Vehicles Symposium (IV), 2020, p.992-998

2020

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Towards the Unified Principles for Level 5 Autonomous Vehicles

A differentiated decision‐making algorithm for automated vehicles based on pedestrian feature estimation

A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

On-Road Trajectory Planning of Connected and Automated Vehicles in Complex Traffic Settings: A Hierarchical Framework of Trajectory Refinement

General Optimal Trajectory Planning: Enabling Autonomous Vehicles with the Principle of Least Action

Adaptive Drift Control of Autonomous Electric Vehicles After Brake System Failures

Behavioral decision‐making model of the intelligent vehicle based on driving risk assessment

Driving risk-aversive motion planning in off-road environment

Safer Conflict-Based Search: Risk-Constrained Optimal Pathfinding for Multiple Connected and Automated Vehicles

A Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments

Probabilistic Situation Assessment for Intelligent Vehicles with Uncertain Trajectory Distribution

Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning

Driving risk assessment based on naturalistic driving study and driver attitude questionnaire analysis

A probabilistic risk assessment framework considering lane-changing behavior interaction

Deception for Advantage in Connected and Automated Vehicle Decision-Making Games

An integrated architecture for intelligence evaluation of automated vehicles

Risk Generation and Identification of Driver–Vehicle–Road Microtraffic System

Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty

CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning

Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control

Multiple Unmanned Ground Vehicles Cooperative Trajectory Planning with Flexible Safety Guarantees

Fast and robust approaches for lane detection using multi-camera fusion in complex scenes

Driver-automation collaborative steering control for intelligent vehicles under unexpected emergency conditions

Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model

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