Advanced AI Techniques for Autonomous Moving Object Detection and Tracking-Reference-Cited by-同舟云学术

Advanced AI Techniques for Autonomous Moving Object Detection and Tracking

Published:2023-12-21 Issue: Volume:14 Page:1572-1579
ISSN:
Container-title:2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Sundaram G. Meenakshi¹,Eatesh Nalluru Mourya Sai²,Karande Manjiri Ulhas³,Patel Warish⁴,Kannadasan B⁵,Patil Harshal⁶

Affiliation:

1. Aditya college of Engineering,Department of Electronics and Communication Engineering,Surampalem,Andhra Pradesh,India,533 437

2. Computer science and business systems, R.M.K Engineering College,Chennai,Tamil Nadu,India,601 206

3. Padm. Dr. V. B. Kolte College of Engineering,Department of Computer Science and Engineering,Malkapur,Maharashtra,India,443 101

4. Parul Institute of Engineering and Technology, Parul University, Post Limda,Department of Computer Science and Engineering,Waghodia,Gujarat,India,391760

5. Architectural Engineering and planning, Kannadasan Balakrishnan Research Foundation, Kalieswari nagar,Department of Civil,Peraiyur,Tamil Nadu,India,625703

6. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Computer Science and Engineering,Pune,Maharashtra,India,412 115

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424966/10425793/10426243.pdf?arnumber=10426243

Reference18 articles.

1. The Intelligent Transportation Systems with Advanced Technology of Sensor and Network

2. Vehicle Detection and Traffic Estimation with Sensors Technologies for Intelligent Transportation Systems

3. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

4. Intelligent Transportation System Based Traffic Congestion Modeling for Urban Corridor