Sonar-neus:voxel-based efficient neural implicit surface reconstruction for forward-looking sonar

Key Points

• The proposed voxel-based reconstruction method enhances surface geometry extraction from sonar data, leading to improved 3D modeling.
• Performance metrics demonstrate a significant reduction in computational time, improving efficiency for model creation and environment mapping.
• This analysis focuses on the use of neural implicit surface methods tailored for sonar applications, particularly underwater scenarios.
• The findings have implications for advanced mapping technologies, but additional validation in diverse aquatic environments is needed.