Deep Learning-Based Decision-Making of Autonomous Vehicles to Predict Accidents-Reference-Cited by-同舟云学术

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Deep Learning-Based Decision-Making of Autonomous Vehicles to Predict Accidents

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
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Author:

Khanum Abida¹,Lee Chao-Yang²,Yang Chu-Sing¹

Affiliation:

1. National Cheng Kung University No.1,Department of Electrical Engineering,Tainan City,Taiwan (R.O.C),701

2. National Yunlin University of Science and Technology National Formosa University,Department of Computer Science and Information Engineering,Yunlin Country,Taiwan (R.O.C)

Funder

Ministry of Science and Technology, Taiwan (R.O.C)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221939/10221894/10222416.pdf?arnumber=10222416

Reference8 articles.

1. Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach

2. A literature review of steering angle prediction algorithms for self-driving cars;oussama;International Conference on Advanced Intelligent Systems for Sustainable Development,2019

3. End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perceptions

4. End-to-End Deep Learning Model for Steering Angle Control of Autonomous Vehicles

5. Integrating end-to-end learned steering into probabilistic autonomous driving

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