An Unsupervised Random Forest Clustering Technique for Automatic Traffic Scenario Categorization. - Friedrich Kruber; Jonas Wurst; Michael Botsch (ITSC, 2018)

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification. - Friedrich Kruber; Jonas Wurst; Eduardo Sánchez Morales; Samarjit Chakraborty; Michael Botsch (IV, 2019)

Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles. - Friedrich Kruber; Eduardo Sánchez Morales; Samarjit Chakraborty; Michael Botsch (IV, 2020)

Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery. - Eduardo Sánchez Morales; Friedrich Kruber; Michael Botsch; Bertold Huber; Andrés García Higuera (IV, 2020)

Open-Set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios. - Lakshman Balasubramanian; Friedrich Kruber; Michael Botsch; Ke Deng (IV, 2021)

Micro- and Macroscopic Road Traffic Analysis using Drone Image Data. - Friedrich Kruber; Eduardo Sánchez Morales; Robin Egolf; Jonas Wurst; Samarjit Chakraborty; Michael Botsch (Leibniz Trans. Embed. Syst., 2022)