Towards Traffic Scene Description: The Semantic Scene Graph
Not on the map. Why?
Abstract (arXiv)
For the classification of traffic scenes, a description model is necessary that can describe the scene in a uniform way, independent of its domain. A model to describe a traffic scene in a semantic way is described in this paper. The description model allows to describe a traffic scene independently of the road geometry and road topology. Here, the traffic participants are projected onto the road network and represented as nodes in a 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. For concretization, the edge attributes are extended by relative distances and velocities between both traffic participants with regard to the course of the lane. An important aspect of the description is that it can be converted easily into a machine-readable format. The current description focuses on dynamic objects of a traffic scene and considers traffic participants, such as pedestrians or vehicles.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 10 of its 30 references that are in the map. First posted on arXiv 19 Nov 2021.
Builds on
10 of 30 references.
References · 10
- 2020TUDataset: A collection of benchmark datasets for learning with graphscited by 728
- 2020VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representationcited by 530
- 2020TNT: Target-driveN Trajectory Predictioncited by 347
- 2019INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Mapscited by 231
- 2019The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersectionscited by 137
- 2019Graph Neural Networks for Modelling Traffic Participant Interactioncited by 42
- 2017Ontology based Scene Creation for the Development of Automated Vehiclescited by 40
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- 2020Towards an Ontology for Scenario Definition for the Assessment of Automated Vehicles: An Object-Oriented Frameworkcited by 4
- 2021Reliving the Dataset: Combining the Visualization of Road Users' Interactions with Scenario Reconstruction in Virtual Realitycited by 3
Built on by
Citing papers per year: 2022: 2; 2023: 3; 2024: 3; 2025: 3; 2026: 1.
12 papers.
- 2023Graph-based Topology Reasoning for Driving Scenescited by 54
- 2024Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understandingcited by 10
- 2022Relation-based Motion Prediction using Traffic Scene Graphscited by 6
- 2023Traffic Scene Similarity: a Graph-based Contrastive Learning Approachcited by 5
- 2024SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Predictioncited by 5
- 2025GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMapcited by 5
- 2023Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactionscited by 4
- 2024Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectationcited by 4
- 2022Self Supervised Clustering of Traffic Scenes using Graph Representationscited by 2
- 2025Learning Isometric Embeddings of Road Networks using Multidimensional Scalingcited by 1
- 2025Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graphcited by 0
- 2026hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freewayscited by 0
- 2026hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways25 Jun 2026
- 2025Exploring Semantic Clustering and Similarity Search for Heterogeneous Traffic Scenario Graph7 Jul 2025
- 2025Learning Isometric Embeddings of Road Networks using Multidimensional Scaling24 Apr 2025
- 2025GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMap15 Jan 2025
- 2024Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding8 Jul 2024
- 2024SocialFormer: Social Interaction Modeling with Edge-enhanced Heterogeneous Graph Transformers for Trajectory Prediction6 May 2024
- 2024Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation6 Feb 2024
- 2023Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions30 Nov 2023
- 2023Traffic Scene Similarity: a Graph-based Contrastive Learning Approach18 Sep 2023
- 2023Graph-based Topology Reasoning for Driving Scenes11 Apr 2023
- 2022Relation-based Motion Prediction using Traffic Scene Graphs24 Nov 2022
- 2022Self Supervised Clustering of Traffic Scenes using Graph Representations24 Nov 2022