Abstract:Underwater Simultaneous Localization and Mapping (SLAM) technology is a crucial tool for underwater robots to explore unknown areas, widely applied in complex marine environments. Underwater SLAM is primarily divided into three mainstream technologies: forward-looking sonar SLAM, underwater optical SLAM, and depth information-based SLAM. Firstly, a summary of these technologies in the application of seabed topography surveying and deep-sea resource exploration is provided, showing varying suitability and accuracy among the technologies, with multibeam sonar technology demonstrating superiority in large-scale seabed mapping due to its high resolution and extensive coverage capabilities. Additionally, the application of key technologies such as artificial intelligence in processing complex underwater data is summarized, for instance, enhanced map construction efficiency and precision through neural network-optimized data processing. Lastly, the future of SLAM technology is envisioned, with further enhancements in data processing speed and energy consumption reduction through algorithm optimization and hardware development.
