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Comparative Analysis of Effective AI-Based 3D Multi-Object Detection and Tracking Methods for Autonomous Driving Cover

Comparative Analysis of Effective AI-Based 3D Multi-Object Detection and Tracking Methods for Autonomous Driving

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 20 (2026): Issue 1 (March 2026)
By:  and    
Open Access
|Mar 2026
Authors

Authors

P.S. Dheepika

psdheepika@gmail.com

Department of Computer Science, The American College, Madurai Kamaraj University, Madurai, India

V. Umadevi

umadevi@gmail.com

Department of Computer Science, Nehru Memorial College, Bharathidasan University, Tiruchirapalli, India
DOI: https://doi.org/10.14313/jamris-2026-014 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 131 - 140
Submitted on: Nov 22, 2023
Accepted on: Sep 17, 2024
Published on: Mar 31, 2026
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Autonomous Driving,
Object Detection,
Tracking,
One Stage Object Detector,
Two Stage Object Detector
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2026 P.S. Dheepika, V. Umadevi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2026): Issue 1 (March 2026)
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