Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation

Luca Crosato, Hubert P. H. Shum, Edmond S. L. Ho and Chongfeng Wei
IEEE Transactions on Intelligent Vehicles (TIV), 2023

 Impact Factor: 8.2 Top 25% Journal in Computer Science, Artificial Intelligence Citation: 38#

Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation
# According to Google Scholar 2023"

Abstract

Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on manually designed decision-making policies which neglect the mutual interactions between AVs and pedestrians. On the other hand, recent advances in Deep Reinforcement Learning allow for the automatic learning of policies without manual designs. To tackle the problem of decision-making in the presence of pedestrians, the authors introduce a framework based on Social Value Orientation and Deep Reinforcement Learning (DRL) that is capable of generating decision-making policies with different driving styles. The policy is trained using state-of-the-art DRL algorithms in a simulated environment. A novel computationally-efficient pedestrian model that is suitable for DRL training is also introduced. We perform experiments to validate our framework and we conduct a comparative analysis of the policies obtained with two different model-free Deep Reinforcement Learning Algorithms. Simulations results show how the developed model exhibits natural driving behaviours, such as short-stopping, to facilitate the pedestrian's crossing.

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BibTeX

@article{crosato23interaction,
 author={Crosato, Luca and Shum, Hubert P. H. and Ho, Edmond S. L. and Wei, Chongfeng},
 journal={IEEE Transactions on Intelligent Vehicles},
 title={Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation},
 year={2023},
 volume={8},
 number={2},
 pages={1339--1349},
 numpages={11},
 doi={10.1109/TIV.2022.3189836},
 issn={2379-8858},
 publisher={IEEE},
}

RIS

TY  - JOUR
AU  - Crosato, Luca
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
AU  - Wei, Chongfeng
T2  - IEEE Transactions on Intelligent Vehicles
TI  - Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation
PY  - 2023
VL  - 8
IS  - 2
SP  - 1339
EP  - 1349
DO  - 10.1109/TIV.2022.3189836
SN  - 2379-8858
PB  - IEEE
ER  - 

Plain Text

Luca Crosato, Hubert P. H. Shum, Edmond S. L. Ho and Chongfeng Wei, "Interaction-Aware Decision-Making for Automated Vehicles using Social Value Orientation," IEEE Transactions on Intelligent Vehicles, vol. 8, no. 2, pp. 1339-1349, IEEE, 2023.

Supporting Grants

Similar Research

Luca Crosato, Chongfeng Wei, Edmond S. L. Ho and Hubert P. H. Shum, "Human-Centric Autonomous Driving in an AV-Pedestrian Interactive Environment Using SVO", Proceedings of the 2021 IEEE International Conference on Human-Machine Systems (ICHMS), 2021
Luca Crosato, Chongfeng Wei, Edmond S. L. Ho, Hubert P. H. Shum and Yuzhu Sun, "A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection", Proceedings of the 2024 ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024
Yuan Hu, Hubert P. H. Shum and Edmond S. L. Ho, "Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars", IET Intelligent Transport Systems (ITS), 2020

 

 

Last updated on 4 June 2024
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