Search Results for author:
Found 4 papers, 0 papers with code
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
Precisely predicting the future trajectories of surrounding traffic participants is a crucial but challenging problem in autonomous driving, due to complex interactions between traffic agents, map context and traffic rules.
Traffic Scene Similarity: a Graph-based Contrastive Learning Approach
Ensuring validation for highly automated driving poses significant obstacles to the widespread adoption of highly automated vehicles.
Self Supervised Clustering of Traffic Scenes using Graph Representations
Examining graphs for similarity is a well-known challenge, but one that is mandatory for grouping graphs together.
Towards Traffic Scene Description: The Semantic Scene Graph
Depending on the relative location between two traffic participants with respect to the road topology, semantically classified edges are created between the corresponding nodes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
