Half-Day, June 2, 2024 (Jeju, Republic of Korea)
Spatial AI refers to AI technologies that enable machines to understand, interpret, and interact with the physical world in a spatial context. This involves processing and analyzing information with a spatial component, such as location, geometry, and relationships between objects in space. Spatial AI leverages various methodologies to make sense of spatial data and improve decision-making in diverse applications, such as autonomous driving, robotics, augmented reality, and location-based services.
This tutorial aims to provide an overview of Spatial AI for intelligent agents. We plan to start from the bottom-level concepts (position and pose estimation) and gradually proceed to higher-level concepts (semantic understanding of surroundings). As the field is broad and rapidly growing, the focus of the tutorial will be centered on delivering the view of its entirety rather than fine details to accommodate participants with varying levels of expertise. Furthermore, we will showcase a set of introduced technologies that are available as off-the-shelf open-source to provide tangible takeaways. After the tutorial, the audience will be able to understand various technologies consisting of spatial AI and how to employ necessary technologies for their applications.
Please contact Ue-Hwan Kim for general inquiries.
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2022-0-00907, Development of AI Bots Collaboration Platform and Self-organizing AI).