Enhancing the Capabilities of Remotely Piloted Aerial Systems Through Object Detection, Face Tracking, Digital Mapping and Gesture Control
DOI:
https://doi.org/10.5281/zenodo.7937975Keywords:
Remotely Piloted Aerial Systems, Remote sensing application, Object detection, Face tracking, Gesture control, Digital mappingAbstract
Remotely Piloted Aerial Systems (RPAS) for remote sensing, a significant way of obtaining geographic data, has benefits like real-time, adaptability, high-resolution, cost-effectiveness, etc., and it can acquire data in risky environments without jeopardizing flight crews. It has great potential and a promising future since RPAS remote sensing is a powerful companion to airborne and spaceborne remote sensing. This work provides a comprehensive view of recent advancements in the field of Remotely Piloted Aerial Systems (RPAS) with machine learning features. The focus is on some specific areas: Face tracking, Object Detection, Surveillance. The paper describes the methods and algorithms used for these applications, discusses their performance and accuracy, and highlights the challenges faced in the implementation of such systems. The paper also provides an overview of the various platforms and tools used for the development of these systems, including hardware and software components. The review concludes by highlighting the future directions for research and development in this field.
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Copyright (c) 2023 Lavanya N L, Anish Bhat, Bhanuranjan S B, K G Lakshmi Narayan, Manjunath Bharadwaj V
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
