Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles-Reference-Cited by-同舟云学术

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Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles

Published:2020-10-24 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Luo Chenxu,Sun Lin,Dabiri Dariush,Yuille Alan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9340668/9340635/09341034.pdf?arnumber=9341034

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Novel hawk swarm‐optimized deep learning classification with K‐nearest neighbor based decision making for autonomous vehicle movement controller;Concurrency and Computation: Practice and Experience;2024-08-31

2. A unified vehicle trajectory prediction model using multi-level context-aware graph attention mechanism;The Journal of Supercomputing;2024-08-08

3. A deep learning approach to predicting vehicle trajectories in complex road networks;International Journal of Data Science and Analytics;2024-06-03

4. DICE: Diverse Diffusion Model with Scoring for Trajectory Prediction;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

5. InterCoop: Spatio-Temporal Interaction Aware Cooperative Perception for Networked Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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