Effective Traffic Model for Intelligent Traffic Monitoring Enabled Deep RNN Algorithm for Autonomous Vehicles Surveillance Systems-Reference-Cited by-同舟云学术

Effective Traffic Model for Intelligent Traffic Monitoring Enabled Deep RNN Algorithm for Autonomous Vehicles Surveillance Systems

Published:2023-09-20 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Leelavathy S.¹,Nithya M.²,Dhaya R.³,Muthuselvan S.³,Kanthavel R.⁴,Rajakumari K.⁵

Affiliation:

1. Aarupadai Veedu Institute of Technology (AVIT),Department of Computer Science and Engineering,Chennai,India

2. Vinayaka Mission's Kirupananda Variyar Engineering College,Vinayaka Mission's Research Foundation (VMRF),Department of Computer Science and Engineering,Salem,India

3. KCG College of Technology,Department of Information Technology,Chennai,India

4. School of CSE, Hindustan Institute of Technology of Science and Technology,Chennai,India

5. Bharath Institute of Higher Education and Research,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10276057.pdf?arnumber=10276057

Reference24 articles.

1. Deep learning-based image recognition for autonomous driving

2. Surround vehicles trajectory analysis with recurrent neural networks

3. Deep learning algorithm for autonomous driving using GoogLeNety;al-qizwini;2017 IEEE Intelligent Vehicle Conference,2017

4. Surround Vehicle Motion Prediction Using LSTM-RNN for Motion Planning of Autonomous Vehicles at Multi-Lane Turn Intersections

5. Autonomous car driving - one possible implementation using machine learning algorithm;ciganovic;5th IcETRAN international conference,2018

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