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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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05/05/2021
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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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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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