Attention-based Neural Network for Driving Environment Complexity Perception-Reference-Cited by-同舟云学术

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Attention-based Neural Network for Driving Environment Complexity Perception

Published:2021-09-19 Issue: Volume: Page:
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Container-title:2021 IEEE International Intelligent Transportation Systems Conference (ITSC)
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Author:

Zhang Ce,Eskandarian Azim,Du Xuelai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9564393/9564395/09564709.pdf?arnumber=9564709

Cited by 9 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. Guiding Attention in End-to-End Driving Models;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

2. An entropy‐based model for quantifying multi‐dimensional traffic scenario complexity;IET Intelligent Transport Systems;2024-04-22

3. A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception;IEEE Transactions on Intelligent Transportation Systems;2023-12

4. EEG-fest: few-shot based attention network for driver's drowsiness estimation with EEG signals;Biomedical Physics & Engineering Express;2023-12-01

5. MotionTrack: End-to-End Transformer-based Multi-Object Tracking with LiDAR-Camera Fusion;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

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