Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets.
Tiago Rodrigues de AlmeidaYufei ZhuAndrey RudenkoTomasz Piotr KucnerJohannes A. StorkMartin MagnussonAchim J. LilienthalPublished in: IEEE Robotics Autom. Lett. (2024)
Keyphrases
- imbalanced datasets
- heterogeneous agents
- distributed search
- learning from imbalanced data
- multi agent
- prediction accuracy
- autonomous agents
- class distribution
- cost sensitive learning
- ensemble methods
- class imbalance
- small number
- sampling methods
- decision trees
- social networks
- training dataset
- feature vectors
- multi agent systems