IEEE RA-L

CLEAR: A Semantic-Geometric Terrain Abstraction for Large-Scale Unstructured Environments

CLEAR: 一种用于大规模无结构环境的语义-几何地形抽象

Pranay Meshram, Charuvahan Adhivarahan, Ehsan Tarkesh Esfahani, Souma Chowdhury, Chen Wang, Karthik Dantu

机构 * Department of Computer Science and Engineering, University at Buffalo（计算机科学与工程系，布法罗大学） ； Department of Mechanical and Aerospace Engineering, University at Buffalo（机械与航空航天工程系，布法罗大学） 纠错

AI总结 CLEAR通过结合边界感知的空间分解与递归平面拟合，实现了大规模无结构环境中的高效地形抽象，提高了路径规划的速度和可靠性。

Comments Accepted in IEEE RA-L August, 2026