Innovations in 3D Object Detection: A Comprehensive Review of Methods, Sensor Fusion, and Future Directions

Ghulam E Mustafa Abro, Zain Anwar Ali, Summaiya Rajput

2024ICCK Transactions on Sensing Communication and Control17 citationsDOI Open Access PDF

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.

Topics & Concepts

Computer scienceObject (grammar)Artificial intelligenceSensor fusionComputer visionAutonomyAsset (computer security)Systems engineeringCognitive neuroscience of visual object recognitionKey (lock)Human–computer interactionObject detectionRisk analysis (engineering)EngineeringComputer securityPattern recognition (psychology)MedicinePolitical scienceLawRobotics and Sensor-Based Localization3D Surveying and Cultural Heritage3D Shape Modeling and Analysis