A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories.
Julian WiedererJulian SchmidtUlrich KresselKlaus DietmayerVasileios BelagiannisPublished in: ITSC (2022)
Keyphrases
- multi agent
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- cooperative
- multiagent systems
- reinforcement learning
- trajectory data
- intelligent agents
- moving objects
- heterogeneous agents
- real world
- comparative analysis
- benchmark suite
- moving object trajectories
- databases
- unsupervised learning
- data sets
- feature space
- data analysis
- autonomous agents
- motion patterns
- neural network
- american football