Machine learning for optimizing disposition and planning of vehicles with near real-time IoT events at scale.
Anusch Daemi-AhwaziDaniel RostPublished in: GI-Jahrestagung (2020)
Keyphrases
- real time
- machine learning
- external events
- event detection
- intelligent surveillance
- intelligent transportation systems
- surveillance videos
- management system
- event processing
- vision system
- low cost
- decision trees
- computer vision
- artificial intelligence
- machine learning algorithms
- urban traffic
- data mining
- dangerous situations
- heuristic search
- text classification
- control system
- pattern recognition
- cloud computing
- data management
- planning problems
- motion planning
- natural language processing
- information extraction
- data analysis
- reinforcement learning
- feature selection