An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization. - Friedrich Kruber; Jonas Wurst; Michael Botsch (ITSC, 2018)

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. - Friedrich Kruber; Jonas Wurst; Eduardo Sánchez Morales; Samarjit Chakraborty; Michael Botsch (IV, 2019)

An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images. - Jonas Wurst; Alberto Flores Fernández; Michael Botsch; Wolfgang Utschick (IV, 2020)

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity. - Lakshman Balasubramanian; Jonas Wurst; Michael Botsch; Ke Deng (IV, 2021)

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder. - Jonas Wurst; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2021)

ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios. - Lakshman Balasubramanian; Jonas Wurst; Robin Egolf; Michael Botsch; Wolfgang Utschick; Ke Deng (ITSC, 2022)

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios. - Jonas Wurst; Lakshman Balasubramanian; Michael Botsch; Wolfgang Utschick (IV, 2022)

Micro- and Macroscopic Road Traffic Analysis using Drone Image Data. - Friedrich Kruber; Eduardo Sánchez Morales; Robin Egolf; Jonas Wurst; Samarjit Chakraborty; Michael Botsch (Leibniz Trans. Embed. Syst., 2022)

Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction. - Alberto Flores Fernández; Jonas Wurst; Eduardo Sánchez Morales; Michael Botsch; Christian Facchi; Andrés García Higuera (Sensors, 2022)

SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction. - Lakshman Balasubramanian; Jonas Wurst; Robin Egolf; Michael Botsch; Wolfgang Utschick; Ke Deng (ITSC, 2023)

Open-World Learning for Traffic Scenarios Categorisation. - Lakshman Balasubramanian; Jonas Wurst; Michael Botsch; Ke Deng (IEEE Trans. Intell. Veh., 2023)

Domain Knowledge Guided Representation Learning for Traffic Scenarios (Domänenwissen gestützte Repräsentations-Lernverfahren für Verkehrsszenarien) - Jonas Wurst (2024)