ISSN No:2250-3676 ----- Crossref DOI Prefix: 10.64771 ----- Impact Factor: 9.625
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    A Hybrid LiDAR–Camera Sensor Fusion Framework For Real-Time Object Detection In Autonomous Robotic Systems

    Singareddy Hemasri,K.S. Raghavendra Reddy

    Author

    ID: 3625

    DOI:

    Abstract :

    Autonomous Robotic Systems Are Increasingly Deployed In Industrial Automation, Intelligent Transportation, Warehouse Logistics, Precision Agriculture, Healthcare, Search-and-rescue Operations, Military Reconnaissance, And Smart City Applications, Where Accurate Perception Of The Surrounding Environment Is Essential For Safe And Reliable Navigation. Traditional Object Detection Systems Relying Solely On RGB Cameras Suffer From Illumination Changes, Shadows, Weather Conditions, And Depth Ambiguity, Whereas LiDAR Sensors Provide Highly Accurate Three-dimensional Geometric Information But Lack Rich Semantic And Texture Details. The Complementary Characteristics Of LiDAR And Camera Sensors Have Motivated The Development Of Hybrid Sensor Fusion Frameworks Capable Of Improving Environmental Perception.

    Published:

    24-9-2024

    Issue:

    Vol. 24 No. 9 (2024)


    Page Nos:

    140 - 155


    Section:

    Articles

    License:

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    How to Cite

    Singareddy Hemasri,K.S. Raghavendra Reddy, A Hybrid LiDAR–Camera Sensor Fusion Framework for Real-Time Object Detection in Autonomous Robotic Systems , 2024, International Journal of Engineering Sciences and Advanced Technology, 24(9), Page 140 - 155, ISSN No: 2250-3676.

    DOI: