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Improving Autonomous Driving Safety with POP: A Framework for Accurate
  Partially Observed Trajectory Predictions

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions

27 September 2023
Sheng Wang
Yingbing Chen
Jie-Zhi Cheng
Xiaodong Mei
Ren Xin
Yongkang Song
Ming-Yu Liu
ArXivPDFHTML

Papers citing "Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions"

2 / 2 papers shown
Title
GameFormer: Game-theoretic Modeling and Learning of Transformer-based
  Interactive Prediction and Planning for Autonomous Driving
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
Zhiyu Huang
Haochen Liu
Chen Lv
OffRL
60
89
0
10 Mar 2023
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
34
54
0
28 Jun 2022
1