Test Method for Measuring the Simulation-to-Reality Gap of Camera-based Object Detection Algorithms for Autonomous Driving. - Fabio Reway; Abdul Hoffmann; Diogo Wachtel; Werner Huber; Alois C. Knoll; Eduardo Parente Ribeiro (IV, 2020)

Validity Analysis of Simulation-based Testing concerning Free-space Detection in Autonomous Driving. - Fabio Reway; Maikol Drechsler; Diogo Wachtel; Werner Huber (VEHITS, 2020)

Validation of a Radar Sensor Model under non-ideal Conditions for Testing Automated Driving Systems. - Diogo Wachtel; Sabine Schröder; Fabio Reway; Werner Huber; Martin Vossiek (IV Workshops, 2021)

Convolutional Neural Network Classification of Vulnerable Road Users based on Micro-Doppler Signatures using an Automotive Radar. - Diogo Wachtel; Johannes Edler; Sabine Schröder; Samuel Queiroz; Werner Huber (ITSC, 2022)

A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation. - Diogo Wachtel; Samuel Queiroz; Torsten Schön; Werner Huber; Lester de Abreu Faria (ITSC, 2023)

I Had a Bad Day: Challenges of Object Detection in Bad Visibility Conditions. - Thomas Rothmeier; Diogo Wachtel; Tetmar von Dem Bussche-Hünnefeld; Werner Huber (IV, 2023)

Simulation and Validation of Automotive Radar Performance with Water Spray Over Radome. - Diogo Wachtel; Thomas Rothmeier; Letícia Cristófoli Duarte; Martin Vossiek; Werner Huber (IEEE SENSORS, 2024)

Exploring Synthetic Radar Data and Deep Learning for Road User Classification in Autonomous Vehicles. - Diogo Wachtel; Sinan Tasabat; Thomas Rothmeier; Letícia Cristófoli Duarte; Werner Huber (ITSC, 2024)