Diogo Wachtel

According to our database, Diogo Wachtel authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Simulation and Validation of Automotive Radar Performance with Water Spray Over Radome.

Diogo Wachtel, Thomas Rothmeier, Letícia Cristófoli Duarte, Martin Vossiek, Werner Huber

Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

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

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

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

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2020

Validity Analysis of Simulation-based Testing concerning Free-space Detection in Autonomous Driving.

Fabio Reway, Maikol Drechsler, Diogo Wachtel, Werner Huber

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020