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Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions
Review Article | Published: 12 October 2024
ICCK Transactions on Sensing, Communication, and Control Volume 1, Issue 1, 2024: 3-29
Volume 1, Issue 1, ICCK Transactions on Sensing, Communication, and Control
Volume 1, Issue 1, 2024
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Quanmin Zhu
Quanmin Zhu
University of the West of England, United Kingdom
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ICCK Transactions on Sensing, Communication, and Control, Volume 1, Issue 1, 2024: 3-29

Free to Read | Review Article | 12 October 2024
Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions
by
Ghulam E Mustafa Abro Ghulam E Mustafa Abro 1 *
Zain Anwar Ali Zain Anwar Ali 2
Summaiya Rajput Summaiya Rajput 3
1 Interdisciplinary Research Centre for Aviation and Space Exploration (IRCASE), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Kingdom of Saudi Arabia
2 Electronic Engineering Department, Maynooth International Engineering College (MIEC), Maynooth University, Maynooth, Co. Kildare, Ireland
3 Department of Telecommunication Engineering, Mehran University of Engineering and Technology (MUET), Pakistan
* Corresponding Author: Ghulam E Mustafa Abro, [email protected]
DOI: 10.62762/TSCC.2024.989358
Received: 13 September 2024, Accepted: 22 September 2024, Published: 12 October 2024  
Cited by: 8  (Source: Web of Science) , 9  (Source: Google Scholar)
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Abstract
This review paper offers a thorough assessment of three-dimensional object recognition methods, an essential element in the perception frameworks of autonomous systems. This analysis emphasises the integration of LiDAR and camera sensors, providing a distinctive contrast with more economical alternatives like camera-only or camera-Radar combinations. This study objectively evaluates performance and practical implementation issues, such as cost and operational efficiency, thereby elucidating the limitations of existing systems and proposing avenues for further research. The insights provided render it a significant asset for enhancing 3D object recognition and autonomy in intelligent systems.
Graphical Abstract
Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions
Keywords
autonomous systems
camera
fusion methods
LiDAR
object detection
radar and three-dimensional
Funding
This work was supported by Interdisciplinary Research Centre for Aviation and Space Exploration (IRCASE), King Fahd University of Petroleum and Minerals (KFUPM, Kingdom of Saudi Arabia).
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Cite This Article
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Abro, G. E. M., Ali, Z. A., & Rajput, S. (2024). Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions. ICCK Transactions on Sensing, Communication, and Control, 1(1), 3–29. https://doi.org/10.62762/TSCC.2024.989358
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