Michael Botsch

79 papers B 6C 16Journal 34Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Behavior-Centric Extraction of Scenarios from Highway Traffic Data and their Domain-Knowledge-Guided Clustering using CVQ-VAE. CoRR Niklas Roßberg, Sinan Hasirlioglu, Mohamed Essayed Bouzouraa, Wolfgang Utschick, Michael Botsch
2026	J	`jnl`	Online Monitoring Framework for Automotive Time Series Data using JEPA Embeddings. CoRR Alexander Fertig, Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch
2026	J	`jnl`	Uncertainty-Aware Diffusion Model for Multimodal Highway Trajectory Prediction via DDIM Sampling. CoRR Marion Neumeier, Niklas Roßberg, Michael Botsch, Wolfgang Utschick
2025	J	`jnl`	Assessing the Completeness of Traffic Scenario Categories for Automated Highway Driving Functions via Cluster-based Analysis. CoRR Niklas Roßberg, Marion Neumeier, Sinan Hasirlioglu, Mohamed Essayed Bouzouraa, Michael Botsch
2025	—	`conf`	Conditioned Trajectory Generation for Realistic Driving Scenarios via a Hybrid Machine Learning Architecture. ITSC Robin Egolf, Alexander Fertig, Michael Botsch
2025	J	`jnl`	Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction. CoRR Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
2025	J	`jnl`	Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic. CoRR Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña
2025	J	`jnl`	Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. CoRR Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña
2025	J	`jnl`	Probability Estimation for Predicted-Occupancy Grids in Vehicle Safety Applications Based on Machine Learning. CoRR Parthasarathy Nadarajan, Michael Botsch
2025	J	`jnl`	Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation. CoRR Abinav Kalyanasundaram, Karthikeyan Chandra Sekaran, Philipp Stauber, Michael Lange, Wolfgang Utschick, Michael Botsch
2025	J	`jnl`	UrbanIng-V2X: A Large-Scale Multi-Vehicle, Multi-Infrastructure Dataset Across Multiple Intersections for Cooperative Perception. CoRR Karthikeyan Chandra Sekaran, Markus Geisler, Dominik Rößle, Adithya Mohan, Daniel Cremers, Wolfgang Utschick, Michael Botsch, Werner Huber, Torsten Schön
2024	C	`conf`	Clustering and Anomaly Detection in Embedding Spaces for the Validation of Automotive Sensors. IV Alexander Fertig, Lakshman Balasubramanian, Michael Botsch
2024	—	`conf`	Generation of Realistic Traffic Scenarios for Virtual and Real Test Drives Based on a Hybrid Machine Learning Framework. ICVES Peter Riegl, Karthikeyan Chandra Sekaran, Michael Botsch
2024	C	`conf`	Open-Set Object Detection for the Identification and Localization of Dissimilar Novel Classes by means of Infrastructure Sensors. IV Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2024	—	`conf`	Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. CVPR Workshops Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2024	J	`jnl`	Reliable Trajectory Prediction and Uncertainty Quantification with Conditioned Diffusion Models. CoRR Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2023	J	`jnl`	A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. CoRR Marion Neumeier, Andreas Tollkühn, Michael Botsch, Wolfgang Utschick
2023	—	`conf`	Continuous Probabilistic Motion Prediction Based on Latent Space Interpolation. ITSC Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña
2023	—	`conf`	Data Collection and Safety Use Cases in Smart Infrastructures. AutomotiveUI (Adjunct Proceedings) Michael Botsch, Werner Huber, Lakshman Balasubramanian, Alberto Flores Fernández, Markus Geisler, Christian Gudera, Mauricio Rene Morales Gomez, Peter Riegl, Eduardo Sánchez Morales, Karthikeyan Chandra Sekaran
2023	J	`jnl`	Generation of Correction Data for Autonomous Driving by Means of Machine Learning and On-Board Diagnostics. Sensors Alberto Flores Fernández, Eduardo Sánchez Morales, Michael Botsch, Christian Facchi, Andrés García Higuera
2023	J	`jnl`	Gradient Derivation for Learnable Parameters in Graph Attention Networks. CoRR Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2023	C	`conf`	Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors. IV Karthikeyan Chandra Sekaran, Lakshman Balasubramanian, Michael Botsch, Wolfgang Utschick
2023	J	`jnl`	Open-World Learning for Traffic Scenarios Categorisation. IEEE Trans. Intell. Veh. Lakshman Balasubramanian, Jonas Wurst, Michael Botsch, Ke Deng
2023	C	`conf`	Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. IV Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2023	J	`jnl`	Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications. CoRR Marion Neumeier, Andreas Tollkühn, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2023	—	`conf`	Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. ITSC Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
2023	J	`jnl`	Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain. CoRR Marion Neumeier, Sebastian Dorn, Michael Botsch, Wolfgang Utschick
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`	A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction. ITSC Marion Neumeier, Andreas Tollkühn, Michael Botsch, Wolfgang Utschick
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	—	`conf`	Interaction-aware Prediction of Occupancy Regions based on a POMDP Framework. ITSC Tim Elter, Tobias Dirndorfer, 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	J	`jnl`	High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles. Sensors Eduardo Sánchez Morales, Julian Dauth, Bertold Huber, Andrés García Higuera, Michael Botsch
2021	—	`conf`	Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture. ITSC Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick
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`	Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. IV Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng
2021	J	`jnl`	Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. CoRR Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch, Ke Deng
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
2021	—	`conf`	Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space. ITSC Marion Neumeier, Michael Botsch, Andreas Tollkühn, Thomas Berberich
2021	J	`jnl`	Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space. CoRR Marion Neumeier, Andreas Tollkühn, Thomas Berberich, Michael Botsch
2020	C	`conf`	Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery. IV Eduardo Sánchez Morales, Friedrich Kruber, Michael Botsch, Bertold Huber, Andrés García Higuera
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`	High Precision Indoor Navigation for Autonomous Vehicles. CoRR Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera
2020	J	`jnl`	High precision indoor positioning by means of LiDAR. CoRR Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera
2020	—	`conf`	Interpretable Machine Learning Structure for an Early Prediction of Lane Changes. ICANN (1) Oliver Gallitz, Oliver De Candido, Michael Botsch, Ron Melz, Wolfgang Utschick
2020	J	`jnl`	Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance. CoRR Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull, Philipp Slusallek, Tobias Dirndorfer, Alexander Kammenhuber, Christoph Lauer, Michael Botsch
2020	—	`conf`	Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks. ITSC Oliver De Candido, Michael Koller, Oliver Gallitz, Ron Melz, Michael Botsch, Wolfgang Utschick
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
2020	C	`conf`	Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles. IV Friedrich Kruber, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
2020	J	`jnl`	Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles. CoRR Friedrich Kruber, Eduardo Sánchez Morales, Samarjit Chakraborty, Michael Botsch
2019	—	`conf`	Efficient Hybrid Machine Learning Algorithm for Trajectory Planning in Critical Traffic-Scenarios. ICITE Amit Chaulwar, Hussein Al-Hashimi, Michael Botsch, Wolfgang Utschick
2019	C	`conf`	High Precision Indoor Navigation for Autonomous Vehicles. IPIN Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera
2019	—	`conf`	Interpretable Feature Generation using Deep Neural Networks and its Application to Lane Change Detection. ITSC Oliver Gallitz, Oliver De Candido, Michael Botsch, Wolfgang Utschick
2019	C	`conf`	Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance. IV Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull, Philipp Slusallek, Tobias Dirndorfer, Alexander Kammenhuber, Christoph Lauer, 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
2018	—	`conf`	Generation of Reference Trajectories for Safe Trajectory Planning. ICANN (1) Amit Chaulwar, Michael Botsch, Wolfgang Utschick
2018	—	`conf`	Real-Time Crash Severity Estimation with Machine Learning and 2D Mass-Spring-Damper Model. ITSC Marcus Müller, Xing Longl, Michael Botsch, Dennis Böhmländer, Wolfgang Utschick
2018	—	`conf`	Wireless Communication System for the Validation of Autonomous Driving Functions on Full-Scale Vehicles. ICVES Valentín Cañas, Eduardo Sánchez Morales, Michael Botsch, Andrés García
2017	J	`jnl`	A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking. J. Artif. Intell. Soft Comput. Res. Gennaro Notomista, Michael Botsch
2017	B	`conf`	A machine learning based biased-sampling approach for planning safe trajectories in complex, dynamic traffic-scenarios. Intelligent Vehicles Symposium Amit Chaulwar, Michael Botsch, Wolfgang Utschick
2017	B	`conf`	Predicted-occupancy grids for vehicle safety applications based on autoencoders and the Random Forest algorithm. IJCNN Parthasarathy Nadarajan, Michael Botsch, Sebastian Sardiña
2016	C	`conf`	A Hybrid Machine Learning Approach for Planning Safe Trajectories in Complex Traffic-Scenarios. ICMLA Amit Chaulwar, Michael Botsch, Wolfgang Utschick
2016	—	`conf`	A statistical learning approach for estimating the reliability of crash severity predictions. ITSC Marcus Müller, Parthasarathy Nadarajan, Michael Botsch, Wolfgang Utschick, Dennis Böhmländer, Stefan Katzenbogen
2016	B	`conf`	Probability estimation for Predicted-Occupancy Grids in vehicle safety applications based on machine learning. Intelligent Vehicles Symposium Parthasarathy Nadarajan, Michael Botsch
2015	B	`conf`	Maneuver segmentation for autonomous parking based on ensemble learning. IJCNN Gennaro Notomista, Michael Botsch
2015	—	`conf`	Supervised Learning via Optimal Control Labeling for Criticality Classification in Vehicle Active Safety. ITSC Stephan Herrmann, Wolfgang Utschick, Michael Botsch, Frank Keck
2010	B	`conf`	Complexity reduction using the Random Forest classifier in a collision detection algorithm. Intelligent Vehicles Symposium Michael Botsch, Christoph Lauer
2010	—	`conf`	Situation aspect modelling and classification using the Scenario Based Random Forest algorithm for convoy merging situations. ITSC Michael Reichel, Michael Botsch, Robert Rauschecker, Karl-Heinz Siedersberger, Markus Maurer
2008	B	`conf`	Construction of interpretable Radial Basis Function classifiers based on the Random Forest kernel. IJCNN Michael Botsch, Josef A. Nossek
2007	C	`conf`	Feature Selection for Change Detection in Multivariate Time-Series. CIDM Michael Botsch, Josef A. Nossek