Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps-Reference-Cited by-同舟云学术

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Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Asghar Rabbia¹,Diaz-Zapata Manuel¹,Rummelhard Lukas¹,Spalanzani Anne¹,Laugier Christian¹

Affiliation:

1. Univ. Grenoble Alpes, Inria,Grenoble,France,38000

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342507.pdf?arnumber=10342507

Cited by 4 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. Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets;IEEE Robotics and Automation Letters;2024-07

2. Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

3. TLCFuse: Temporal Multi-Modality Fusion Towards Occlusion-Aware Semantic Segmentation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

4. Dynamic Occupancy Grid Map with Semantic Information Using Deep Learning-Based BEVFusion Method with Camera and LiDAR Fusion;Sensors;2024-04-29

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