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

IEEE transactions on intelligent transportation systems : a publication of the IEEE Intelligent Transportation Systems Council, v.19 no.9, 2018년, pp.2965 - 2976  

Kim, Jaehwan (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea) ,  Kum, Dongsuk (The Cho Chun Shik Graduate School of Green Transportation, Korea Advanced Institute of Science and Technology, Daejeon, South Korea)

Abstract AI-Helper 아이콘AI-Helper

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 t...

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