A Semantic World Model for Urban Search and Rescue Based on Heterogeneous Sensors.
Johannes MeyerPaul SchnitzspanStefan KohlbrecherKaren PetersenMykhaylo AndrilukaOliver SchwahnUwe KlingaufStefan RothBernt SchieleOskar von StrykPublished in: RoboCup (2010)
Keyphrases
- world model
- semantic interpretation
- semantic constraints
- natural language
- vision system
- urban search and rescue
- real time
- sensor networks
- knowledge sources
- databases
- sensor data
- medical domain
- natural language understanding
- search and rescue
- general purpose
- semantic analysis
- artificial intelligence
- natural language processing
- domain knowledge
- machine learning