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Generation of Correction Data for Autonomous Driving by Means of Machine Learning and On-Board Diagnostics

Sensors (Basel, Switzerland), 2022-12, Vol.23 (1), p.159

2022

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High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1131

2021

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Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction

Sensors (Basel, Switzerland), 2022-06, Vol.22 (12), p.4498

2022

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Fahrzeugsicherheit und automatisiertes Fahren: Methoden der Signalverarbeitung und des maschinellen Lernens

1, 2020

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A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking

Journal of Artificial Intelligence and Soft Computing Research, 2017-10, Vol.7 (4), p.243-255

2017

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An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization

2018 21st International Conference on Intelligent Transportation Systems (ITSC), 2018, p.2811-2818

2018

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IEEE_Xplore

Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors

2023 IEEE Intelligent Vehicles Symposium (IV), 2023, p.1-8

2023

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IEEE_Xplore

Open-World Learning for Traffic Scenarios Categorisation

IEEE transactions on intelligent vehicles, 2023-05, Vol.8 (5), p.1-16

2023

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IEEE_Xplore

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder

2021 IEEE Intelligent Vehicles Symposium (IV), 2021, p.1304-1311

2021

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Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios

2022 IEEE Intelligent Vehicles Symposium (IV), 2022, p.484-491

2022

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Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

2020 IEEE Intelligent Vehicles Symposium (IV), 2020, p.2089-2096

2020

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IEEE_Xplore

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

2021 IEEE Intelligent Vehicles Symposium (IV), 2021, p.682-689

2021

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Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios

2021 IEEE Intelligent Vehicles Symposium (IV), 2021, p.674-681

2021

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A fast airplane boarding strategy using online seat assignment based on passenger classification

Journal of air transport management, 2016-06, Vol.53, p.140-149

2016

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An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images

2020 IEEE Intelligent Vehicles Symposium (IV), 2020, p.1436-1443

2020

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IEEE_Xplore

Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications

2023 IEEE Intelligent Vehicles Symposium (IV), 2023, p.1-8

2023

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IEEE_Xplore

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

2019 IEEE Intelligent Vehicles Symposium (IV), 2019, p.2463-2470

2019

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IEEE_Xplore

Micro- and Macroscopic Road Traffic Analysis using Drone Image Data

Leibniz transactions on embedded systems, 2022-11, Vol.8 (1), p.02:1-02:27

2022

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Generation of Reference Trajectories for Safe Trajectory Planning

Artificial Neural Networks and Machine Learning – ICANN 2018, p.423-434

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Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic

Journal of advances in information technology, 2018, Vol.9 (1), p.1-9

2018

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Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery

2020 IEEE Intelligent Vehicles Symposium (IV), 2020, p.2081-2088

2020

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IEEE_Xplore

Interpretable Machine Learning Structure for an Early Prediction of Lane Changes

Artificial Neural Networks and Machine Learning – ICANN 2020, p.337-349

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Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies

Journal of advances in information technology, 2018, Vol.9 (1), p.15-24

2018

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High Precision Indoor Navigation for Autonomous Vehicles

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2019, p.1-8

2019

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IEEE_Xplore

Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance

2019 IEEE Intelligent Vehicles Symposium (IV), 2019, p.2164-2171

2019

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IEEE_Xplore

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Generation of Correction Data for Autonomous Driving by Means of Machine Learning and On-Board Diagnostics

High Precision Outdoor and Indoor Reference State Estimation for Testing Autonomous Vehicles

Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction

Fahrzeugsicherheit und automatisiertes Fahren: Methoden der Signalverarbeitung und des maschinellen Lernens

A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking

An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization

Metric Learning Based Class Specific Experts for Open-Set Recognition of Traffic Participants in Urban Areas Using Infrastructure Sensors

Open-World Learning for Traffic Scenarios Categorisation

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder

Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios

Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles

Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity

Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios

A fast airplane boarding strategy using online seat assignment based on passenger classification

An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images

Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

Micro- and Macroscopic Road Traffic Analysis using Drone Image Data

Generation of Reference Trajectories for Safe Trajectory Planning

Machine Learning Architectures for the Estimation of Predicted Occupancy Grids in Road Traffic

Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery

Interpretable Machine Learning Structure for an Early Prediction of Lane Changes

Machine Learning Based Prediction of Crash Severity Distributions for Mitigation Strategies

High Precision Indoor Navigation for Autonomous Vehicles

Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance

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