End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network-Reference-Cited by-同舟云学术

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End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network

Published:2022-10-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)
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Author:

Guo Bai-cang¹,Wang Yin-lin¹,Gao Ming²,Lu Jia³,Han Guang-sheng⁴,Zhang Li-bin⁴

Affiliation:

1. School of Vehicle and Energy, Yanshan University,Qinhuangdao,China

2. Hunan University,College of Mechanical and Vehicle Engineering,Qinhuangdao,China

3. Qiming Information Technology Co.,Ltd,Research and Development Centre,Changchun,China

4. Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd,Tianjin,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9998874/9998878/09998956.pdf?arnumber=9998956

Reference22 articles.

1. A Lightweight Convolutional Neural Network for End to End Autonomous Driving

2. End-to-End Steering Controller with CNN-based Closed-loop Feedback for Autonomous Vehicles

3. Human-Like Decision Making of Artificial Drivers in Intelligent Transportation Systems: An End-to-End Driving Behavior Prediction Approach

4. Multi-task Learning with Attention for End-to-end Autonomous Driving

5. Squeeze-and-Excitation Networks[C];hu;2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition,2018

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