抄録
In this paper, we introduce the human search and identification in the diverse environment without human operation or intervention. A supervisory control system is developed to search and identify a specific enrolled person in an undiscovered room under a wide variety of conditions such as many different illumination conditions, human poses, distances, and indoor configurations. We also consider a substantial exploration with the detector for human evidences that makes path planning suitable for center position of the human localization data. To validate our approach, we integrate our functional components on the intelligent robot software architecture of the CIROS platform and demonstrate the challenging robot mission successfully in the 2009 Grand Challenge Contest.
