Verification and validation methods for decision-making and planning of automated vehicles: A review

Y Ma, C Sun, J Chen, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Verification and validation (V&V) hold a significant position in the research and development
of automated vehicles (AVs). Current literature indicates that different V&V techniques have …

Federated vehicular transformers and their federations: Privacy-preserving computing and cooperation for autonomous driving

Y Tian, J Wang, Y Wang, C Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cooperative computing is promising to enhance the performance and safety of autonomous
vehicles benefiting from the increase in the amount, diversity as well as scope of data …

A survey on trajectory-prediction methods for autonomous driving

Y Huang, J Du, Z Yang, Z Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …

Making standards for smart mining operations: Intelligent vehicles for autonomous mining transportation

S Ge, FY Wang, J Yang, Z Ding, X Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In face of the safety risk and ageing workforce in traditional mining industry, smart mining is
becoming the new trend, especially the autonomous mining, which could completely …

Planning and decision-making for connected autonomous vehicles at road intersections: A review

S Li, K Shu, C Chen, D Cao - Chinese Journal of Mechanical Engineering, 2021 - Springer
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

Probabilistic lane-change decision-making and planning for autonomous heavy vehicles

W Hu, Z Deng, D Cao, B Zhang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
To improve the safety and driving stability of the autonomous heavy truck, it is necessary to
consider the differences of driving behavior and drivable trajectories between the heavy …

Unprotected left-turn behavior model capturing path variations at intersections

J Zhao, VL Knoop, J Sun, Z Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Path dispersion (the spatial distribution of vehicular paths) is an important feature of traffic
flow inside intersections and differs from traffic flow running along traffic lanes at road …

Interaction-aware cut-in trajectory prediction and risk assessment in mixed traffic

X Zhu, W Hu, Z Deng, J Zhang, F Hu… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Accurately predicting the trajectories of surrounding vehicles and assessing the collision
risks are essential to avoid side and rear-end collisions caused by cut-in. To improve the …

Adaptive steering torque coupling framework considering conflict resolution for human-machine shared driving

J Han, J Zhao, B Zhu, D Song - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Human-machine shared control has become an effective cutting-edge approach to enhance
driving safety and assist in the transition from manual to autonomous driving. However …

Emerging trends in intelligent vehicles: The ieee tiv perspective

H Zhang, J Guo, G Luo, L Li, X Na… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article is focused on bibliographic analysis and collaboration pattern analysis of the text
papers published in the IEEE Transactions on Intelligent Vehicles (TIV) from January 2019 …