3D spatial layout understanding from images plays an important role in the autonomous driving and object recognition.This paper proposes a 3D spatial layout understanding algorithm based on multiple CRFs.Firstly

multiple different scales super-pixel image are generated based on the multiple segmentation.Then

the feature of super-pixel are constructed based on LBP surface texture feature

orientation texture feature from LM filters

color feature

and location and shape feature of super-pixels in the image.Finally

the CRF model on every scale super-pixel image is built

the Dempster-Shafer theory of evidence is used to integrate the inference result of multiple CRF models and the 3D spatial layout understanding from an image is realized.The experiments on the public database Geometric Context and KITTI Layout demonstrate that the algorithm proposed in this paper improves the average accuracy of 3D spatial layout understanding comparing to the existing state-of-art.