Kai Yang
Orcid: 0000-0002-5530-9326Affiliations:
- Chongqing University, College of Mechanical and Vehicle Engineering, China
- Tsinghua University, School of Civil Engineering, Beijing, China
According to our database1,
Kai Yang
authored at least 16 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Interactive Decision-Making Integrating Graph Neural Networks and Model Predictive Control for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., May, 2025
IEEE Trans. Veh. Technol., March, 2025
HCLT-YOLO: A Hybrid CNN and Lightweight Transformer Architecture for Object Detection in Complex Traffic Scenes.
IEEE Trans. Veh. Technol., March, 2025
IEEE Trans. Veh. Technol., February, 2025
2024
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., February, 2024
Path Planning and Tracking Control for Parking via Soft Actor-Critic Under Non-Ideal Scenarios.
IEEE CAA J. Autom. Sinica, January, 2024
2023
IEEE Trans. Veh. Technol., December, 2023
Prediction Failure Risk-Aware Decision-Making for Autonomous Vehicles on Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., November, 2023
IEEE Trans. Veh. Technol., September, 2023
Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives.
IEEE Trans. Intell. Transp. Syst., September, 2023
Uncertainty-Aware Decision-Making for Autonomous Driving at Uncontrolled Intersections.
IEEE Trans. Intell. Transp. Syst., September, 2023
2022
IEEE Trans. Intell. Veh., 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
A new SOTIF scenario hierarchy and its critical test case generation based on potential risk assessment.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
2019
Numerical and Experimental Investigations of Noise and Vibration Characteristics for a Dual-Motor Hybrid Electric Vehicle.
IEEE Access, 2019