ordain
发表于 2025-3-28 15:54:22
Conclusion,e information in the maps created by a mobile robot with labels that represent different places in the environment. These places have different functionalities, such as corridors, offices or kitchens. Moreover, throughout this book we have seen how the semantic information about places can improve t
burnish
发表于 2025-3-28 19:10:37
http://reply.papertrans.cn/87/8647/864644/864644_42.png
negligence
发表于 2025-3-28 23:29:49
Probabilistic Semantic Classification of Trajectories,classes in a trajectory are rather unlikely. For example, if the classification of the current pose is ., then it is rather unlikely that the classification of the next pose is . given the robot moved a short distance only. To get from the kitchen to the office, the robot first has to move through a doorway.
orthopedist
发表于 2025-3-29 06:14:28
Semantic Information in Sensor Data,servation, we classify the observation itself by assigning a semantic label to each of its measurements. The main idea is to classify each laser beam into the class of the entity it hits. In this way, the data provided by the range sensor contains additional semantic information about the environment.