Domain Adaptiveness on Lidar Echo Texture in Navigable Areas

Unmanned driving technology has extremely important significance and value in multiple fields such as the economy, society, and environment. With the rapid development of artificial intelligence technology, unmanned driving has gained more intelligent support, enabling it to achieve autonomous perception, decision-making, and action. However, there are still many risks and challenges in the large-scale application of unmanned driving technology. Traditional unmanned driving technology requires the support of high-precision maps and has weak adaptability in different environments, which makes the technology application cost high. Therefore, this paper proposes a passable area detection framework based on lidar echo texture information. Combining the framework's high environmental adaptability, unmanned vehicles can have good autonomous navigation capabilities even without high-precision maps and high-precision positioning.