70 citations · 95 across the 3 of their papers we have counts for
3 papers
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
Seong Hyeon Park, ByeongDo Kim, Chang Mook Kang +2
In this paper, we propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time. We e…
Probabilistic Vehicle Trajectory Prediction over Occupancy Grid Map via Recurrent Neural Network
ByeoungDo Kim, Chang Mook Kang, Seung Hi Lee +4
In this paper, we propose an efficient vehicle trajectory prediction framework based on recurrent neural network. Basically, the characteristic of the vehicle's trajectory is diffe…
Autonomous Braking System via Deep Reinforcement Learning
Hyunmin Chae, Chang Mook Kang, ByeoungDo Kim +3
In this paper, we propose a new autonomous braking system based on deep reinforcement learning. The proposed autonomous braking system automatically decides whether to apply the br…