We live in a world where location is the key for many activities, and computer vision plays a key role for answering the fundamental questions for location-based reasoning and mapping: (1) Where am I? (2) Where I am going? (3) How do I get there? The future world, not too far from our real life, would be full of autonomous robotics and AI agents: autonomous vehicles, autonomous taxis, autonomous delivery vans, autonomous drones, autonomous robotics etc. and location-based reasoning, especially mapping, is one of the key components that enable the above applications.
The first Vision Meets Mapping (VMM) tutorial at CVPR 2019 in Long Beach had drawn over 200+ people to attend and was one of the few overly crowded and well-attended tutorials. We had gathered leading researchers/experts from HERE, Uber, AMap (AutoNavi/Alibaba), Mapillary to present their research work on mapping and the tutorials were well received by the computer vision community.
Based on the success of 1st international tutorial on Vision Meets Mapping (VMM) in CVPR 2019, and to serve the increasing interests and requests of the community, we introduce the 2nd international tutorial on Vision Meets Mapping (VMM2) in CVPR 2020. This tutorial brings together top researchers and industry leaders to share the latest advances of computer vision technologies developed for mapping and location-based reasoning, as well as the computer vision community of students/researchers who are actively working/interested in this area. In this tutorial, we will cover the following topics of interests (including but not limited to):