ANALYSIS OF PROBLEMS AND POTENTIAL SOLUTIONS IN LOCALIZING OBJECTS IN 3D SPACE
Keywords:
3D object localization, radio frequency localization, LiDAR, computer vision, artificial intelligence, machine learning, autonom systems, robotechnologyAbstract
This article provides an overview of existing methods for 3D object localization and the challenges associated with their application in various fields such as robotics, autonomous transportation, and smart cities. It explores the use of various technologies such as radio frequency (RF) localization, LiDAR, computer vision, and artificial intelligence (AI) in the context of localization systems. The article discusses the advantages and limitations of each technology and proposes potential solutions to overcome the challenges, such as combining multiple sensors through sensor fusion, applying machine learning models, and using advanced algorithms.
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References
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Chen, J., & Wang, H. (2018). LiDAR and Computer Vision Integration for Accurate Localization in Autonomous Vehicles. Journal of Sensors, 2018.
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Copyright (c) 2024 Dilnoza Abdijamalova (Author)
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