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).
|Publication status||Published - 5 Oct 2018|
|Event||2018 IEEE/RSJ International Conference on Intelligent Robots and Systems - Madrid, Spain|
Duration: 1 Oct 2018 → 5 Oct 2018
|Conference||2018 IEEE/RSJ International Conference on Intelligent Robots and Systems|
|Abbreviated title||IROS 2018|
|Period||1/10/18 → 5/10/18|