Ai-Powered Autonomous Drone Navigation in Complex Environments

Authors

  • N. V. S. Vijaya Lakshmi, V. Rambabu, Ch S K Chaitanya, V Anil Santhosh

Keywords:

NMFNet, experimental, modalities

Abstract

Autonomous navigation in intricate surroundings is essential in time-critical situations like as disaster response or search and rescue operations. Complex settings provide substantial problems for autonomous platforms to travel owing to their difficult characteristics: limited tight corridors, unstable pathways with trash and impediments, uneven geological formations, and inadequate illumination conditions.

This study presents a multimodal fusion methodology to tackle the challenge of autonomous navigation in intricate landscapes, including collapsed cities and natural caverns. Initially, we replicate intricate landscapes using a physics-based simulation engine and gather an extensive dataset for training purposes.        
We present a Navigation Multimodal Fusion Network (NMFNet) with three branches to efficiently process three visual modalities: laser, RGB pictures, and point cloud data.    
The comprehensive experimental findings demonstrate that our NMFNet significantly surpasses previous state-of-the-art methods while attaining real-time performance. We furthermore demonstrate that the utilization of several senses is crucial for autonomous navigation in intricate situations. Ultimately, we effectively implement our network on both simulated and actual mobile robots.

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References

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S. D. Panjaitan et al. “A Drone Technology Implementation Approach to Conventional Paddy Fields Application”. In: IEEE Access 10 (2022), pp. 120650–120658. doi: 10.1109/ACCESS.2022.3221188.

S. Sanz-Martos et al. “Drone Applications for Emergency and Urgent Care: A Systematic Review”. In: Prehospital and Disaster Medicine 37.4 (2022), pp. 502–508. doi: 10.1017/S1049023X22000887.

C. A. S. Lelis et al. “Drone-Based AI System for Wildfire Monitoring and Risk Prediction”. In: IEEE Access 12 (2024), pp. 139865–139882. doi: 10.1109/ACCESS. 2024.3462436.

T. Ko¸c. Drone Technologies and Applications. IntechOpen. 2023. doi: 10.5772/ intechopen.1001987.

Aleksandar Petrovski and Marko Radovanovi´c. “Application of Drones with Artificial Intelligence for Military Purposes”. In: Journal of Advanced Military Technolo- gies 4.3 (2022), pp. 45–56.

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Published

21.09.2023

How to Cite

N. V. S. Vijaya Lakshmi. (2023). Ai-Powered Autonomous Drone Navigation in Complex Environments. International Journal of Intelligent Systems and Applications in Engineering, 11(4), 1017 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7477

Issue

Vol. 11 No. 4 (2023)

Section

Research Article

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