Ontologies for vision agents

Research output: Contribution to conferencePresentation


With the growth of AI agents in our daily life, people are increasingly asked to interact with these intelligent agents, which are most of the time equipped with camera(s) and/or systems able to automatically process visual inputs such as raw still images, live video feeds, etc. Hence, the development of ontologies for these vision agents is of prime importance, in order to allow the sharing of the information between humans and/or vision-enabled robotic systems in a consistent and interoperable way. In this work, we present the challenges underlying vision agents as well as the solutions provided by the development of ontologies such as the Spatio-Temporal Visual Ontology (STVO).
Original languageEnglish
Publication statusPublished - 5 Oct 2018
Event2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Madrid, Spain
Duration: 1 Oct 20185 Oct 2018


Conference2018 IEEE/RSJ International Conference on Intelligent Robots and Systems
Abbreviated titleIROS 2018
Internet address


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