Volumetric Mapping for Long-term Robot Interaction | JRC Workshop 2021
Computer Vision | Day 1
20 April 2021
Speaker: Lukas Schmid, ETH Zurich
(collaboration with Cesar Cadena, Roland Siegwart, ETH Zurich and Johannes Schönberger, Juan Nieto, Marc Pollefeys, Microsoft)
Having a high-quality map, i.e. a geometric and semantic understanding of one’s surroundings over longer periods of time, is a prerequisite for a large variety of interactive tasks in robotics and AR, such as navigation, object search, manipulation, immersive AR experiences, or service robotics. However, state-of-the-art approaches are not yet well equipped to capture long-term dynamics in changing scenes. In this talk, we present current work a novel map representation leveraging semantic scene understanding to capture temporal changes in long-term dynamic environments and to provide the agent with object-centric multi-resolution maps.
- 日期：
- 演讲者：
- Lukas Schmid
- 所属机构：
- ETH Zurich