Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles

@article{Kim2018CollisionRA,
  title={Collision Risk Assessment Algorithm via Lane-Based Probabilistic Motion Prediction of Surrounding Vehicles},
  author={Jaehwan Kim and Dongsuk Kum},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2018},
  volume={19},
  pages={2965-2976}
}
  • Jaehwan Kim, Dongsuk Kum
  • Published in
    IEEE Transactions on…
    2018
  • Computer Science, Engineering
  • In order to ensure reliable autonomous driving, the system must be able to detect future dangers in sufficient time to avoid or mitigate collisions. In this paper, we propose a collision risk assessment algorithm that can quantitatively assess collision risks for a set of local path candidates via the lane-based probabilistic motion prediction of surrounding vehicles. First, we compute target lane probabilities, which represent how likely a driver is to drive or move toward each lane, based on… CONTINUE READING

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