WANG Mingjun, ZHOU Jun, TU Jun, LIU Chengliang. Long-range Terrain Perception Based on Conditional Random Fields[J]. ROBOT, 2010, 32(3): 326-333.
Citation: WANG Mingjun, ZHOU Jun, TU Jun, LIU Chengliang. Long-range Terrain Perception Based on Conditional Random Fields[J]. ROBOT, 2010, 32(3): 326-333.

Long-range Terrain Perception Based on Conditional Random Fields

  • Based on conditional random fields(CRFs),an online,adaptive,and near-to-far long-range terrain perception approach is proposed.First,the current image is segmented into superpixels,and feature vectors and terrain categories of near-field superpixels are incorporated into terrain database as learning samples.Second,superpixel features and spatial relationships between far-field superpixels are modeled by using conditional random fields and terrain database.Finally,terrain categories of far-field superpixels are inferred based on the on-line learned model parameters.Experimental results show that the proposed approach outperforms other existing methods in terms of accuracy,robustness and adaptability to dynamic environments.
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