RNN-based path prediction of obstacle vehicles with deep ensemble

K Min, D Kim, J Park, K Huh - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
In this paper, a new approach for obstacle vehicle path prediction, which is important for
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …
被引用次数：57 相关文章

RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble

K Min, D Kim, J Park, K Huh - IEEE TRANSACTIONS ON …, 2019 - repository.hanyang.ac.kr
In this paper, a new approach for obstacle vehicle path prediction, which is important for
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …

[引用][C] RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble

K Min, D Kim, J Park, K Huh - IEEE Transactions on Vehicular …, 2019 - cir.nii.ac.jp
RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble

K Min, D Kim, J Park, K Huh - IEEE Transactions on Vehicular Technology, 2019 - trid.trb.org
In this paper, a new approach for obstacle vehicle path prediction, which is important for
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …

RNN-Based Path Prediction of Obstacle Vehicles With Deep Ensemble

K Min, D Kim, J Park, K Huh - IEEE TRANSACTIONS ON …, 2019 - scholarworks.bwise.kr
In this paper, a new approach for obstacle vehicle path prediction, which is important for
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …