Mobile Robots (MR) have gained extensive adoption in various fields, including autonomous, search and rescue operations. Achieving robust and accurate navigation capabilities is essential for their successful deployment. This paper focuses on the exploration of visual odometry to enhance the navigation capabilities of mobile robots, especially in GPS denied environments. This research explores the visual odometry that is based essentially on the estimation of the camera pose. The goal of this paper is to develop a visual odometry system and validate its effectiveness in real-world scenarios. This involves testing the accuracy, adaptability, and reliability of MR navigation, with potential applications extending to autonomous vehicles, industrial automation, and beyond.
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DOI: 10.1109/isivc61350.2024.10577766
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