Visual SLAM Location Methods Based on Complex Scenes: A Review
In recent years, positioning for simple static scenes has been unable to meet the requirements of people's production and life. People want to achieve accurate positioning in practical scenarios such as airports, exhibition halls and stations. Therefore, the research on visual SLAM positioning in complex dynamic scenes is increasing day by day. This article reviews the research results of SLAM positioning methods and visual SLAM positioning methods for complex scenes in recent years. Firstly, the development process of laser SLAM, visual SLAM, semantic SLAM and multi sensor fusion is introduced, but the focus is on visual SLAM. Secondly, the paper summarizes the methods of moving object detection and visual SLAM localization in complex dynamic scenes. Then the paper describes the development of deep learning and multi sensor fusion in visual SLAM positioning based on complex dynamic scenes. Finally, the shortcomings of visual SLAM positioning methods based on complex scenes are summarized and the research prospects are prospected.
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