Computer Science > Robotics
arXiv:2308.01022 (cs)
[Submitted on 2 Aug 2023]
Title:Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network
View a PDF of the paper titled Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network, by Wen Wei and 1 other authors
View PDFAbstract:The development of autonomous vehicles has brought a great impact and changes to the transportation industry, offering numerous benefits in terms of safety and efficiency. However, one of the key challenges that autonomous driving faces is how to make ethical decisions in complex situations. To address this issue, in this article, a novel trajectory prediction method is proposed to achieve ethical decision-making for autonomous driving. Ethical considerations are integrated into the decision-making process of autonomous vehicles by quantifying the utility principle and incorporating them into mathematical formulas. Furthermore, trajectory prediction is optimized using LSTM network with an attention module, resulting in improved accuracy and reliability in trajectory planning and selection. Through extensive simulation experiments, we demonstrate the effectiveness of the proposed method in making ethical decisions and selecting optimal trajectories.
| Comments: | 7 pages, 4 figures |
| Subjects: | Robotics (cs.RO) |
| Cite as: | arXiv:2308.01022 [cs.RO] |
| (orarXiv:2308.01022v1 [cs.RO] for this version) | |
| https://doi.org/10.48550/arXiv.2308.01022 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network, by Wen Wei and 1 other authors
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