Path Evaluation via HMM on Semantical Occupancy Grid Maps
@article{Korthals2018PathEV, title={Path Evaluation via HMM on Semantical Occupancy Grid Maps}, author={Timo Korthals and Julian Exner and Thomas Sch{\"o}pping and M. Hesse}, journal={ArXiv}, year={2018}, volume={abs/1805.02944} }
Traditional approaches to mapping of environments in robotics make use of spatially discretized representations, such as occupancy grid maps. Modern systems, e.g. in agriculture or automotive applications, are equipped with a variety of different sensors to gather diverse process-relevant modalities from the environment. The amount of data and its associated semantic information demand for broader data structures and frameworks, like semantical occupancy grid maps (SOGMs). This multi-modal… Expand
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