most citedDiverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss

26 citations · 39 across the 2 of their papers we have counts for

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cs.CV2022★ 26 cited

Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss

Sanmin Kim, Hyeongseok Jeon, Junwon Choi +1

Prior arts in the field of motion predictions for autonomous driving tend to focus on finding a trajectory that is close to the ground truth trajectory. Such problem formulations a…

cs.CV2020★ 13 cited

SCALE-Net: Scalable Vehicle Trajectory Prediction Network under Random Number of Interacting Vehicles via Edge-enhanced Graph Convolutional Neural Network

Hyeongseok Jeon, Junwon Choi, Dongsuk Kum

Predicting the future trajectory of surrounding vehicles in a randomly varying traffic level is one of the most challenging problems in developing an autonomous vehicle. Since ther…