Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation.

We present a novel approach to automatically identify driver behaviors from vehicle trajectories and use them for safe navigation of autonomous vehicles. We propose a novel set of features that can be easily extracted from car trajectories. We derive a data-driven mapping between these features and six driver behaviors using an elaborate web-based user study. We also compute a summarized score indicating a level of awareness that is needed while driving next to other vehicles. We also incorporate our algorithm into a vehicle navigation simulation system and demonstrate its benefits in terms of safer real-time navigation, while driving next to aggressive or dangerous drivers.

@article{Cheung2018IdentifyingDB,
  title={Identifying Driver Behaviors Using Trajectory Features for Vehicle Navigation},
  author={Ernest Cheung and Aniket Bera and Emily Kubin and Kurt Gray and Dinesh Manocha},
  journal={2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2018},
  pages={3445-3452}
}