Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction

B Varadarajan, A Hefny, A Srivastava… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
被引用次数：220 相关文章

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

B Varadarajan, A Hefny, A Srivastava… - arXiv preprint arXiv …, 2021 - arxiv.org
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

B Varadarajan, A Hefny, A Srivastava… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
[PDF] academia.edu

[PDF][PDF] MULTIPATH++: EFFICIENT INFORMATION FUSION AND TRAJECTORY AGGREGATION FOR BEHAVIOR PREDICTION

B Varadarajan, A Hefny, A Srivastava… - arXiv preprint arXiv …, 2021 - academia.edu
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
[PDF] researchgate.net

[PDF][PDF] MULTIPATH++: EFFICIENT INFORMATION FUSION AND TRAJECTORY AGGREGATION FOR BEHAVIOR PREDICTION

B Varadarajan, A Hefny, A Srivastava… - arXiv preprint arXiv …, 2021 - researchgate.net
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

B Varadarajan, A Hefny, A Srivastava… - 2022 IEEE International …, 2022 - dl.acm.org
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …
[PDF] openreview.net

[PDF][PDF] MULTIPATH++: EFFICIENT INFORMATION FUSION AND TRAJECTORY AGGREGATION FOR BEHAVIOR PREDICTION

B Varadarajan, A Hefny, A Srivastava… - arXiv preprint arXiv …, 2021 - openreview.net
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

B Varadarajan, A Hefny, A Srivastava, KS Refaat… - openreview.net
Predicting the future behavior of road users is one of the most challenging and important
problems in autonomous driving. Applying deep learning to this problem requires fusing …

[引用][C] MULTIPATH++: EFFICIENT INFORMATION FUSION AND TRAJECTORY AGGREGATION FOR BEHAVIOR PREDICTION

B Varadarajan, A Hefny, A Srivastava, KS Refaat… - arXiv preprint arXiv …, 2021