Heye Huang
Orcid: 0000-0002-8964-8764
According to our database1,
Heye Huang
authored at least 29 papers
between 2018 and 2025.
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Bibliography
2025
LEAD: Learning-Enhanced Adaptive Decision-Making for Autonomous Driving in Dynamic Environments.
IEEE Trans. Intell. Transp. Syst., May, 2025
CoRR, May, 2025
RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios.
CoRR, April, 2025
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning.
CoRR, April, 2025
Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective.
CoRR, March, 2025
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer.
CoRR, February, 2025
Safer Conflict-Based Search: Risk-Constrained Optimal Pathfinding for Multiple Connected and Automated Vehicles.
IEEE Trans Autom. Sci. Eng., 2025
2024
A Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments.
IEEE Trans. Intell. Transp. Syst., November, 2024
IEEE Trans. Ind. Electron., June, 2024
Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning.
CoRR, 2024
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models.
CoRR, 2024
High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles.
CoRR, 2024
CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning.
CoRR, 2024
Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments.
CoRR, 2024
Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning.
Adv. Eng. Informatics, 2024
On-Road Trajectory Planning of Connected and Automated Vehicles in Complex Traffic Settings: A Hierarchical Framework of Trajectory Refinement.
IEEE Access, 2024
Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Deception for Advantage in Connected and Automated Vehicle Decision-Making Games<sup>*</sup>.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
DTP-M3Net: Monocular Multiclass Multistage Vulnerable Road User Detection, Tracking and Prediction for Autonomous Driving.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Expert Syst. Appl., April, 2023
2022
Driver-automation collaborative steering control for intelligent vehicles under unexpected emergency conditions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
2021
Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty.
Ind. Robot, 2021
Behavioral decision-making model of the intelligent vehicle based on driving risk assessment.
Comput. Aided Civ. Infrastructure Eng., 2021
2020
A probabilistic risk assessment framework considering lane-changing behavior interaction.
Sci. China Inf. Sci., 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
2019
An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Sensors, 2018