Dynamic Path Planning Techniques for UAVs with Sector Constraints

Authors

  • Sudharsan Vaidhun Bhaskar, Aayush Jain

Keywords:

Dynamic path planning, UAVs, sector constraints, real-time navigation, adaptive re-routing, obstacle avoidance, model-based approaches, machine learning, sensor fusion, situational awareness, hybrid models, computational efficiency.

Abstract

The advancement of Unmanned Aerial Vehicles (UAVs) has spurred significant research in dynamic path planning, particularly in the context of sector constraints. Path planning for UAVs is a critical aspect that ensures efficient navigation in complex and dynamic environments while adhering to predefined constraints. Sector constraints, such as no-fly zones, obstacles, and environmental conditions, necessitate the development of sophisticated algorithms that can dynamically adapt to changing conditions. This paper explores various dynamic path planning techniques designed for UAVs operating within sector constraints.

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Published

2024-08-23

How to Cite

Sudharsan Vaidhun Bhaskar, Aayush Jain. (2024). Dynamic Path Planning Techniques for UAVs with Sector Constraints. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 3(2), 695–717. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/152

Issue

Vol. 3 No. 2 (2024): Volume 3 Issue 2 (July-December, 2024)

Section

Articles