Jonas Wurst

19 papers C 5Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — —
Domain Knowledge Guided Representation Learning for Traffic Scenarios (Domänenwissen gestützte Repräsentations-Lernverfahren für Verkehrsszenarien)
Jonas Wurst
2023 J jnl
Open-World Learning for Traffic Scenarios Categorisation.
IEEE Trans. Intell. Veh.
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2023 — conf
SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction.
ITSC
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 — conf
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios.
ITSC
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 J jnl
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios.
CoRR
Lakshman Balasubramanian, Jonas Wurst, Robin Egolf, Michael Botsch, Wolfgang Utschick, Ke Deng
2022 C conf
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios.
IV
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2022 J jnl
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios.
CoRR
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2022 J jnl
Micro- and Macroscopic Road Traffic Analysis using Drone Image Data.
Leibniz Trans. Embed. Syst.
Friedrich Kruber, Eduardo Sánchez Morales, Robin Egolf, Jonas Wurst, Samarjit Chakraborty, Michael Botsch
2022 J jnl
Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction.
Sensors
Alberto Flores Fernández, Jonas Wurst, Eduardo Sánchez Morales, Michael Botsch, Christian Facchi, Andrés García Higuera
2021 C conf
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder.
IV
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2021 J jnl
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder.
CoRR
Jonas Wurst, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2021 C conf
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity.
IV
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2021 J jnl
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity.
CoRR
Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2020 C conf
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images.
IV
Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick
2020 J jnl
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images.
CoRR
Jonas Wurst, Alberto Flores Fernández, Michael Botsch, Wolfgang Utschick
2020 J jnl
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization.
CoRR
Friedrich Kruber, Jonas Wurst, Michael Botsch
2020 J jnl
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification.
CoRR
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
2019 C conf
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification.
IV
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
2018 — conf
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization.
ITSC
Friedrich Kruber, Jonas Wurst, Michael Botsch