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05/25/2023
Optimization and Interpretability of Graph Attention Networks for Small Sparse Graph Structures in Automotive Applications
For automotive applications, the Graph Attention Network (GAT) is a prom...
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05/12/2023
A Multidimensional Graph Fourier Transformation Neural Network for Vehicle Trajectory Prediction
This work introduces the multidimensional Graph Fourier Transformation N...
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04/21/2023
Gradient Derivation for Learnable Parameters in Graph Attention Networks
This work provides a comprehensive derivation of the parameter gradients...
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07/19/2022
Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios
Clustering traffic scenarios and detecting novel scenario types are requ...
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07/18/2022
ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios
Representation learning in recent years has been addressed with self-sup...
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05/17/2021
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern Similarity
Traffic scenario categorisation is an essential component of automated d...
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05/17/2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
An understanding and classification of driving scenarios are important f...
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05/05/2021
Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder
Detecting unknown and untested scenarios is crucial for scenario-based t...
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03/25/2021
Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space
This paper introduces the Descriptive Variational Autoencoder (DVAE), an...
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05/27/2020
An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images
A novel unsupervised outlier score, which can be embedded into graph bas...
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05/14/2020
High precision indoor positioning by means of LiDAR
The trend towards autonomous driving and the continuous research in the ...
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05/14/2020
High Precision Indoor Navigation for Autonomous Vehicles
Autonomous driving is an important trend of the automotive industry. The...
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05/14/2020
Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance
Due to the current developments towards autonomous driving and vehicle a...
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04/17/2020
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
The availability of real-world data is a key element for novel developme...
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04/05/2020
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification
The goal of this paper is to provide a method, which is able to find cat...
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04/05/2020