DEEP MULTI-LAYER PERCEPTION BASED TERRAIN CLASSIFICATION FOR PLANETARY EXPLORATION ROVERS

Accurate classification and identification of the detected terrain is #syd-hill-oilskin-Full Length the basis for the long-distance patrol mission of the planetary rover.But terrain measurement based on vision and radar is subject to conditions such as light changes and dust storms.In this paper, under the premise of not increasing the sensor load

The conventional warping method only considers translations of pixels to generate stereo images.In this paper, we propose a model that can generate stereo images from a single image, considering both translation adjustment slide as well as rotation of objects in the image.We modified the appearance flow network to make it more general and suitable