The article presents a study on developing a linear driver model for path planning in automated vehicles. The model is designed to reflect the preferences of human drivers, making automated driving more natural and comfortable. The model uses road curvature as input and applies it to a self-developed Euler-curve-based curve fitting algorithm. Through a case study, the researchers show that the model can reproduce the average behavior of human curve path selection. The performance of the proposed model is analyzed through statistical analysis, confirming the validity of the captured relations.

 

Publication date: 5 Oct 2023
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2310.02696

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