53 citations · 107 across the 6 of their papers we have counts for
4 papers · 1 filter
Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery
Eduardo Sánchez Morales, Friedrich Kruber, Michael Botsch +2
Due to their capability of acquiring aerial imagery, camera-equipped Unmanned Aerial Vehicles (UAVs) are very cost-effective tools for acquiring traffic information. However, not e…
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales +2
The goal of this paper is to provide a method, which is able to find categories of traffic scenarios automatically. The architecture consists of three main components: A microscopi…
An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization
Friedrich Kruber, Jonas Wurst, Michael Botsch
A modification of the Random Forest algorithm for the categorization of traffic situations is introduced in this paper. The procedure yields an unsupervised machine learning method…
Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data set
Friedrich Kruber, Jonas Wurst, Samarjit Chakraborty +1
This work provides a comprehensive analysis on naturalistic driving behavior for highways based on the highD data set. Two thematic fields are considered. First, some macroscopic a…