Semantic Object Recognition Based on Qualitative Probabilistic Spatial Relations [chapter]

Malgorzata Goldhoorn, Frank Kirchner
2015 Formal Modeling and Verification of Cyber-Physical Systems  
Autonomous mobile robots that act in human living environment and perform complex tasks there must be able to obtain relevant information from the surrounding and reason about this knowledge. The system's ability to recognize objects and assign them semantic description is a vital capability for the robots in order to carry out such a complex task. Dealing with objects in the environment is not a trivial problem but rather a challenging one and detection systems relay only on information
more » ... information extracted from their noisy sensors are often not sufficient to recognize objects properly. Therefore, this paper presents a new approach for object recognition, in which probabilistic spatial-semantic knowledge is applied to improve the recognition result.
doi:10.1007/978-3-658-09994-7_12 dblp:conf/syde/GoldhoornK15 fatcat:3xypzk2gynhl7ait44okfukm6u