Comparative Analysis of Visual Positioning Techniques for Indoor Navigation Systems
Keywords:VPS, Visual, Positioning, SLAM, Object Based
Indoor navigation is a significant challenge that requires specialized positioning systems due to the limitations of GPS in indoor environments. Visual Positioning Systems (VPS) have emerged as a promising solution to address this challenge, but the selection and optimization of appropriate visual positioning techniques pose significant challenges. To provide a comprehensive understanding of this research problem, it is essential to examine the existing literature on indoor navigation systems, including the challenges, limitations, and opportunities associated with VPS. A detailed discussion of the specific research objectives would also be helpful in framing the research problem. Therefore, the research objectives of this paper are to compare and evaluate different visual positioning techniques for indoor navigation based on various performance metrics such as positioning accuracy, computational complexity, and power consumption. The paper aims to provide insights into the advantages and limitations of these techniques, identify key challenges in implementing them, and propose potential solutions to overcome these challenges. Furthermore, the paper will explore the potential applications of VPS in indoor navigation beyond traditional environments such as hospitals, airports, and shopping malls. These applications could include robotic navigation, augmented reality, and autonomous vehicles. By achieving these research objectives, this paper aims to contribute to the field of indoor navigation and VPS by providing a comprehensive analysis of different visual positioning techniques and identifying the key challenges in their implementation. This knowledge could be beneficial to researchers, developers, and stakeholders in developing more accurate, efficient, and reliable indoor navigation systems.
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