In this study, we introduce a segmentation method that detects ground and non-ground points of complex scenes under different exposures to illumination, ...

Abstract—The understanding of the complexity of outdoor environments is an essential issue for the development of efficient processes of autonomous mobility ...

A segmentation method that detects ground and non-ground points of complex scenes under different exposures to illumination, textures, and shading is ...

In this study, we introduce a segmentation method that detects ground and non-ground points of complex scenes under different exposures to illumination, ...

Rural settlements, defined as settlements areas for rural residents to ... In most existing land-use and land-cover maps, the distribution of rural.

The proposed method explores both local shapes and multilevel structures of outdoor scenes and constructs a probabilistic ground model in order to improve the ...

Abstract—Ground segmentation is an important pre- processing task for local environment perception using 3D L-. IDAR, and it is particularly challenging in ...

are required for autonomous robot navigation in unstructured outdoor environments. This paper provides a comprehensive review and critical analysis of these ...

Construct a comprehensive dataset tailored for the semantic segmentation of various outdoor objects. This dataset is intended to push forward advancements in ...