• Adeeba Ali
• Rashid Ali
• M.F. Baig

The Development of different navigation strategies for Unmanned Aerial Vehicles has been under scientific research for the last few decades and resulted in the construction of a variety of aerial platforms. Currently, the main challenge that the scientific community is facing is the design of fully autonomous unmanned aerial vehicles having the competency of safely carrying out missions without any human intervention. In order to improve the guidance and navigation skills of these aerial platforms, the control pipeline of the UAVs is integrated with visual sensing techniques. The objective of this survey is to demonstrate an extensive review of the literature on vision-aided techniques for autonomous UAV navigation. Particularly on vision-based localization and UAV state estimation, collision avoidance, path planning, and control. In addition to this, throughout this article, we will provide an insight into the challenges to be addressed, current developments, and trends in autonomous UAV navigation.

Unmanned aerial vehicles(UAVs), obstacle avoidance, path planning, visual SLAM.

"An Overview of Vision-based methods for Autonomous UAV Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f556-f573, November-2022, Available :http://www.jetir.org/papers/JETIR2211571.pdf

"An Overview of Vision-based methods for Autonomous UAV Navigation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf556-f573, November-2022, Available at : http://www.jetir.org/papers/JETIR2211571.pdf