Improved Feature Point Extraction Method of VSLAM in Low-Light Dynamic Environment
Yang Wang,
Yi Zhang,
Lihe Hu
et al.
Abstract:Visual simultaneous localization and mapping (VSLAM) is pivotal for intelligent mobile robots. VSLAM systems can be used to identify scenes by obtaining massive amounts of redundant texture information from the environment. However, VSLAM faces a major challenge in dynamic low-light environments, in which the extraction of feature points is often difficult, leading to tracking failure with mobile robots. Therefore, we developed a method to improve the feature point extraction method used for VSLAM. We first us… Show more
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