Semantic Mapping for Disaster Response
Abstract
The project is a collaboration between researchers at the Robotics Institute at Carnegie Mellon University (CMU) and at the Korea Advanced Institute of Science and Technology (KAIST). The three year project focuses on the challenge of providing accurate and informative data about a disaster area for responders to make planning decisions. The proposed work aims precisely at contributing to addressing this challenge toward a semantic map building and analysis tool that human responders can use in their decision making by translating a massive amount of raw data created from an aftermath into informative, compact, and semantically rich information.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 02, 2017
- Source ID
- FA23861714660
Entities
People
- Martial Hebert
Organizations
- Air Force Office of Scientific Research
- Massachusetts Institute of Technology
- United States Air Force