End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras-Reference-Cited by-同舟云学术

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End-to-End Spatio-Temporal Attention-Based Lane-Change Intention Prediction from Multi-Perspective Cameras

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intelligent Vehicles Symposium (IV)
language:
Short-container-title:

Author:

Zhao Zhouqiao¹,Wei Zhensong¹,Tian Danyang²,Reimer Bryan³,Gershon Pnina³,Moradi-Pari Ehsan²

Affiliation:

1. University of California,the Center for Environmental Research and Technology,Department of Electrical and Computer Engineering,Riverside,CA,92507

2. Honda Research Institute US,Ann Arbor,MI,48103

3. Massachusetts Institute of Technology,Cambridge,MA,02142

Funder

Massachusetts Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186602.pdf?arnumber=10186602

Reference38 articles.

1. Video-based emotion recognition using CNN-RNN and C3D hybrid networks

2. Empirical evaluation of gated recurrent neural networks on sequence modeling;chung,2014

3. Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network

4. Deep Residual Learning for Image Recognition

5. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Cited by 1 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. E-DNet: An End-to-End Dual-Branch Network for Driver Steering Intention Detection;Electronics;2024-06-25

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