Exploring dynamic context for multi-path trajectory prediction

H Cheng, W Liao, X Tang, MY Yang… - … on Robotics and …, 2021 - ieeexplore.ieee.org
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …
被引用次数：36 相关文章

Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - 2021 IEEE International …, 2021 - dl.acm.org
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …

Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - openreview.net
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …

Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - arXiv e …, 2020 - ui.adsabs.harvard.edu
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …
[PDF] uni-hannover.de

[PDF][PDF] Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - tnt.uni-hannover.de
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …

Exploring dynamic context for multi-path trajectory prediction

H Cheng, W Liao, X Tang, MY Yang… - … on Robotics and …, 2021 - research.utwente.nl
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …
[PDF] uni-hannover.de

[PDF][PDF] Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - ikg.uni-hannover.de
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …

Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - arXiv preprint arXiv …, 2020 - arxiv.org
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …
[PDF] researchgate.net

[PDF][PDF] Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - researchgate.net
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …
[PDF] uni-hannover.de

[PDF][PDF] Exploring Dynamic Context for Multi-path Trajectory Prediction

H Cheng, W Liao, X Tang, MY Yang, M Sester… - tnt.uni-hannover.de
To accurately predict future positions of different agents in traffic scenarios is crucial for
safely deploying intelligent autonomous systems in the real-world environment. However, it …