Learning to Navigate Intersections with Unsupervised Driver Trait Inference

@article{Liu2022LearningTN,
  title={Learning to Navigate Intersections with Unsupervised Driver Trait Inference},
  author={Shuijing Liu and Peixin Chang and Haonan Chen and Neeloy Chakraborty and Katherine Driggs Campbell},
  journal={2022 International Conference on Robotics and Automation (ICRA)},
  year={2022},
  pages={3576-3582}
}
Navigation through uncontrolled intersections is one of the key challenges for autonomous vehicles. Identifying the subtle differences in hidden traits of other drivers can bring significant benefits when navigating in such environments. We propose an unsupervised method for inferring driver traits such as driving styles from observed vehicle trajectories. We use a variational autoencoder with recurrent neural networks to learn a latent representation of traits without any ground truth trait… 

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