The invention discloses a
mobile robot path attribute judgment method based on TBM evidence theory fusion. The method comprises the following steps: collecting multi-
source data and executing space-time registration; constructing an identification framework, and mapping the geometric features of the
point cloud and the semantic probability of the image into a
basic probability assignment; performing orthogonal fusion on the heterogeneous evidences by using a TBM conjunctive rule, and extracting empty set quality to construct a local conflict
energy spectrum; according to the method, a
quadtree is driven to dynamically split based on an
energy spectrum, a variable-resolution map is generated, an attribute
semantic map is generated through Pignistic transformation, in addition, curved surface three-dimensional equivalent expansion path planning is executed by the method,
anisotropy cost correction is carried out by combining a gravity acting principle, and anti-interference trajectory tracking is realized by utilizing a self-adaptive dynamic model and an extended
state observer. According to the method, the problems of
perception conflict
processing deficiency and two-dimensional planning
distortion in an unstructured environment are solved, and the environmental adaptability and traffic safety of the
robot in a complex
terrain are improved.